{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\jagottli\Dropbox\Research\Nigeria\Lagos EGAP Metaketa Co-PI folder\05 Analyses\Final Data Analysis\GottliebLebasMagat_LagosTax_Replication\Output log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}15 Mar 2024, 16:32:47

{com}. cd "C:\Users\jagottli\Dropbox/Research/Nigeria/Lagos EGAP Metaketa Co-PI folder/05 Analyses/Final Data Analysis/GottliebLebasMagat_LagosTax_Replication - BJPS Dataverse"
{res}C:\Users\jagottli\Dropbox\Research\Nigeria\Lagos EGAP Metaketa Co-PI folder\05 Analyses\Final Data Analysis\GottliebLebasMagat_LagosTax_Replication - BJPS Dataverse

{com}. do "C:\Users\jagottli\AppData\Local\Temp\STD43a8_000000.tmp"
{txt}
{com}. * load blocking IDs
. use "Data/lagostax_blockingvars.dta", clear
{txt}
{com}. 
. label var int1_treatment "Treatment assignment at intervention1"
{txt}
{com}. label var int2_treatment "Treatment assignment at intervention2"
{txt}
{com}. label var block_id_int1 "Randomization1 (assignment to C, T1) block id"
{txt}
{com}. label var block_id_int2_step1 "Randomization2 (assignment to G1/T1, G2/Collective, G3/Non-Collective) block id"
{txt}
{com}. label var block_id_int2_step2 "Randomization2 (assignment to T2, T3, T4, T5) block id"
{txt}
{com}. label var block_int2_group "Randomization2 grouping"
{txt}
{com}. 
. * add de-identified raw baseline data
. preserve
{txt}
{com}. use "Data/lagostax_baseline.dta", clear
{txt}
{com}. 
. // add baseline identifiers
. foreach var of varlist date-f17_other {c -(}
{txt}  2{com}.         rename `var' `var'_B
{txt}  3{com}. {c )-}
{res}{txt}
{com}. 
. generate sample_b = 1
{txt}
{com}. 
. tempfile temp1
{txt}
{com}. save `temp1'
{txt}{p 0 4 2}
file {bf}
C:\Users\jagottli\AppData\Local\Temp\ST_43a8_000002.tmp{rm}
saved
as .dta format
{p_end}

{com}. restore
{txt}
{com}. 
. merge m:m SbjNum using `temp1'
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}               0
{txt}{col 5}Matched{col 30}{res}           2,765{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop _merge
{txt}
{com}. 
. // check duplicates
. duplicates report SbjNum 

{p 0 4}{txt}Duplicates in terms of {res} SbjNum{p_end}

{txt}{hline 10}{c TT}{hline 27}
   Copies {c |} Observations       Surplus
{hline 10}{c +}{hline 27}
        1 {c |}         {res}2765             0
{txt}{hline 10}{c BT}{hline 27}

{com}. 
. // proportion of yoruba
. * baseline
. decode mname_B, gen(market_name)
{txt}
{com}. gen market_name_b = lower(market_name)
{txt}(1 missing value generated)

{com}. drop market_name mname_B
{txt}
{com}. rename market_name_b mname_B
{res}{txt}
{com}. egen mtag_b = tag(mname_B)
{txt}
{com}. 
. bysort mname_B: egen pyoruba = mean(yoruba)
{txt}
{com}. label var pyoruba "Density of Yoruba in market, baseline"
{txt}
{com}. 
. gen qyoruba = 1 if pyoruba < .33
{txt}(2,029 missing values generated)

{com}. replace qyoruba = 2 if pyoruba >= .33 & pyoruba < .66
{txt}(1,286 real changes made)

{com}. replace qyoruba = 3 if pyoruba >= .66 & pyoruba <= 1
{txt}(743 real changes made)

{com}. label define qyoruba 1 "0 - 33%" 2 "33 - 66%" 3 "66 - 100%", modify
{txt}
{com}. label values qyoruba qyoruba
{txt}
{com}. 
. * add endline data
. preserve
{txt}
{com}. use "Data/lagostax_endline.dta", clear
{txt}
{com}. 
. // add endline identifiers
. foreach var of varlist deviceid-cati_tax {c -(}
{txt}  2{com}.         rename `var' `var'_E
{txt}  3{com}. {c )-}
{res}{txt}
{com}. 
. rename e1_interviewee_code_E SbjNum
{res}{txt}
{com}. 
. tempfile temp2
{txt}
{com}. save `temp2'
{txt}{p 0 4 2}
file {bf}
C:\Users\jagottli\AppData\Local\Temp\ST_43a8_000004.tmp{rm}
saved
as .dta format
{p_end}

{com}. restore
{txt}
{com}. 
. merge m:m SbjNum using `temp2' // 1433 matched
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}           1,332
{txt}{col 9}from master{col 30}{res}           1,332{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}Matched{col 30}{res}           1,433{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop _merge
{txt}
{com}. 
. // proportion of yoruba
. * endline
. generate yoruba_e = 0 if resp_ethnicity_E != . 
{txt}(1,586 missing values generated)

{com}. replace yoruba_e = 1 if resp_ethnicity_E == 1
{txt}(551 real changes made)

{com}. label var yoruba_e "Ethnicity, endline"
{txt}
{com}. label define yoruba_e 0 "Non-Yoruba" 1 "Yoruba"
{txt}
{com}. label values yoruba_e yoruba_e
{txt}
{com}. 
. gen mname_e = lower(market_name_E)
{txt}(1,336 missing values generated)

{com}. drop market_name_E
{txt}
{com}. rename mname_e market_name_e
{res}{txt}
{com}. 
. egen mtag_e = tag(market_name_e)
{txt}
{com}. bysort market_name_e: egen pyoruba_e = mean(yoruba_e)
{txt}(2 missing values generated)

{com}. label var pyoruba_e "Density of Yoruba in market, endline"
{txt}
{com}. 
. * add phone survey data
. preserve 
{txt}
{com}. use "Data/lagostax_phone.dta", clear
{txt}
{com}. 
. rename e1_interviewee SbjNum
{res}{txt}
{com}. order SbjNum, before(deviceid)
{txt}
{com}. 
. foreach var of varlist deviceid-duplicate {c -(}
{txt}  2{com}. rename `var' `var'_P
{txt}  3{com}. {c )-}
{res}{txt}
{com}. 
. tempfile temp3
{txt}
{com}. save `temp3'
{txt}{p 0 4 2}
file {bf}
C:\Users\jagottli\AppData\Local\Temp\ST_43a8_000006.tmp{rm}
saved
as .dta format
{p_end}

{com}. restore 
{txt}
{com}. 
. merge 1:1 SbjNum using `temp3' // 1157 matched
{res}{txt}(label {bf:{txt}consent} already defined)
(label {bf:{txt}call_back} already defined)
(label {bf:{txt}f9_language} already defined)
(label {bf:{txt}f10_trouble_language} already defined)
(label {bf:{txt}f14_respondent_atitude} already defined)

{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}           1,608
{txt}{col 9}from master{col 30}{res}           1,608{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}Matched{col 30}{res}           1,157{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop _merge
{txt}
{com}. 
. // check duplicates
. duplicates report SbjNum

{p 0 4}{txt}Duplicates in terms of {res} SbjNum{p_end}

{txt}{hline 10}{c TT}{hline 27}
   Copies {c |} Observations       Surplus
{hline 10}{c +}{hline 27}
        1 {c |}         {res}2765             0
{txt}{hline 10}{c BT}{hline 27}

{com}. 
. // change the variable names into lower case
. rename *, lower
{res}{txt}
{com}. 
. // notes
. * generate identifier to denote which vendors are in both the baseline and endline sample
. generate notes1 = 0 if sample_b == 1 & sample_e == .
{txt}(1,496 missing values generated)

{com}. replace notes1 = 1 if sample_b == 1 & sample_e == 1
{txt}(1,496 real changes made)

{com}. 
. label define notes1 0 "Vendor in baseline but not in endline sample" 1 "Vendor in baseline and endline sample"
{txt}
{com}. label values notes1 notes1
{txt}
{com}. 
. * generate an identifier that indicates whether the vendor is in the endline sample and has been visited by an interviewer
. generate notes2 = .
{txt}(2,765 missing values generated)

{com}. replace notes2 = 1 if sample_e == 1 & consent_e == .
{txt}(269 real changes made)

{com}. replace notes2 = 2 if sample_e == 1 & (consent_e == 0 | consent_e == 2)
{txt}(48 real changes made)

{com}. replace notes2 = 3 if sample_e == 1 & consent_e == 1
{txt}(1,179 real changes made)

{com}. 
. label define notes2 1 "Vendor not found in endline" 2 "Vendor found but not interviewed in endline" 3 "Vendor found and interviewed in endline"
{txt}
{com}. label values notes2 notes2
{txt}
{com}. 
. * add dates of intervention
. preserve
{txt}
{com}. use "Data/lagostax_interventiondate.dta", clear
{txt}
{com}. 
. tempfile temp2
{txt}
{com}. save `temp2'
{txt}{p 0 4 2}
file {bf}
C:\Users\jagottli\AppData\Local\Temp\ST_43a8_000008.tmp{rm}
saved
as .dta format
{p_end}

{com}. restore
{txt}
{com}. 
. merge m:m sbjnum using `temp2' 
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}           1,238
{txt}{col 9}from master{col 30}{res}           1,187{txt}  (_merge==1)
{col 9}from using{col 30}{res}              51{txt}  (_merge==2)

{col 5}Matched{col 30}{res}           1,578{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop if _merge == 2
{txt}(51 observations deleted)

{com}. drop _merge
{txt}
{com}. 
. * add intervention consent 
. preserve
{txt}
{com}. import excel "Data/endline-sample-aug2020.xlsx", clear firstrow
{res}{text}(16 vars, 1,493 obs)

{com}. 
. gen consent_placebo = consent_1 if sample == "placebo"
{txt}(1,277 missing values generated)

{com}. replace consent_1 = "" if sample == "placebo"
{txt}(216 real changes made)

{com}. 
. keep SbjNum consent_1 consent_2 consent_placebo
{txt}
{com}. rename SbjNum sbjnum
{res}{txt}
{com}. rename consent_1 consent_int1
{res}{txt}
{com}. rename consent_2 consent_int2
{res}{txt}
{com}. 
. label var consent_int1 "Intervention1 consent"
{txt}
{com}. label var consent_int2 "Intervention2 consent"
{txt}
{com}. label var consent_placebo "Placebo consent"
{txt}
{com}. 
. tempfile temp4
{txt}
{com}. save `temp4'
{txt}{p 0 4 2}
file {bf}
C:\Users\jagottli\AppData\Local\Temp\ST_43a8_00000a.tmp{rm}
saved
as .dta format
{p_end}

{com}. restore
{txt}
{com}. 
. merge m:m sbjnum using `temp4' // 1493 matched
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}           1,272
{txt}{col 9}from master{col 30}{res}           1,272{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}Matched{col 30}{res}           1,493{txt}  (_merge==3)
{col 5}{hline 41}

{com}. drop _merge 
{txt}
{com}. 
. * only keep those in endline sample (did not attrit from intervention)
. keep if notes1 == 1
{txt}(1,269 observations deleted)

{com}. 
. * save dataset
. save "Data/lagostax_merged_final.dta", replace
{txt}{p 0 4 2}
file {bf}
Data/lagostax_merged_final.dta{rm}
saved
{p_end}

{com}. 
{txt}end of do-file

{com}. do "C:\Users\jagottli\AppData\Local\Temp\STD43a8_000000.tmp"
{txt}
{com}. * load data
. use "Data/lagostax_merged_final.dta", clear
{txt}
{com}. 
. * generate variables
. qui do "2-variables.do"
{txt}
{com}. 
. * save dataset
. save "Data/lagostax_merged_final_labeled.dta", replace
{txt}{p 0 4 2}
file {bf}
Data/lagostax_merged_final_labeled.dta{rm}
saved
{p_end}

{com}. 
{txt}end of do-file

{com}. do "C:\Users\jagottli\AppData\Local\Temp\STD43a8_000000.tmp"
{txt}
{com}. /*
> 
>         File-Name: 5-analysis-plus-bjps.do
>         Last Updated: 4/5/22
>         Author: Jessica Gottlieb
>         Purpose: Analyses for BJPS submission
>         
> */
. 
. * To save figures and tables
. cd Figures
{res}C:\Users\jagottli\Dropbox\Research\Nigeria\Lagos EGAP Metaketa Co-PI folder\05 Analyses\Final Data Analysis\GottliebLebasMagat_LagosTax_Replication - BJPS Dataverse\Figures
{txt}
{com}. 
. * Save as macro
. global controls "i.market_size i.rent_dummy i.yoruba i.trust i.lirs_connect i.friends_market i.club"
{txt}
{com}. 
. **Measuring the moderator
. *Tax collection by each agent
. generate lirsfee=0
{txt}
{com}. replace lirsfee=1 if q42_b==4
{txt}(25 real changes made)

{com}. replace lirsfee=1 if q44_b==4
{txt}(16 real changes made)

{com}. 
. generate localfee=0
{txt}
{com}. replace localfee=1 if q42_b==3
{txt}(311 real changes made)

{com}. replace localfee=1 if q44_b==3
{txt}(69 real changes made)

{com}. 
. *For LIRS, this would take the form of any past visit or collection of tax. 
. gen lirs_enforce=0
{txt}
{com}. replace lirs_enforce=1 if visit_lirs==1 | lirsfee==1
{txt}(477 real changes made)

{com}. *For the marketplace association, any past collection of tax or reported reliance on the association to adjudicate disputes 
. gen mpa_enforce=0
{txt}
{com}. replace mpa_enforce=1 if mpafee==1 | mpasolve==1
{txt}(833 real changes made)

{com}. 
. 
. * Generate main results
. 
. // Fig 2
. 
. *update betterbar to remove dv from labels
. do "../6 - betterbar-rev.do"
{txt}
{com}. *! version 1.5 31DEC2019  Benjamin Daniels bbdaniels@gmail.com
. 
. // Betterbar - Stata module to produce bar graphs with standard error bars and cross-group comparisons.
. 
. cap prog drop betterbar
{txt}
{com}. prog def betterbar
{txt}  1{com}. 
.         // Version compatibility
.         if `c(version)' >= 15 local la "la(center)"
{txt}  2{com}.         version 13.1
{txt}  3{com}. 
. syntax anything                                     /// Variable list
>         [if] [in] [fw iw aw pw],        ///
>   [by(varname)]                               /// Separate variables across higher groups
>         [Over(varname)]                             /// Determines groups for comparison at the lowest level
>         ///
>   [n]                                                             /// Adds sample sizes in legend
>   [ci]                                                    /// Plots standard error bars
>   [vce(passthru)]           /// Allow any VCE options in [mean]
>         [BARlab]                                                /// Labels bars with means
>   [BARColor(string asis)]   /// Specify list of bar colors
>   [pct]                     /// Bar labels as percentages
>         [format(string asis)]             /// Formats for bar means
>   [Vertical]                                          /// Horizontal bar is the default
>         [*]                                                               /// Allows any normal options for twoway graphs
> 
{txt}  4{com}. 
. // Prep
. 
. qui {c -(}
{txt}  5{com}. preserve
{txt}  6{com}. marksample touse , novarlist
{txt}  7{com}.         keep if `touse'
{txt}  8{com}. 
. // Setup
. 
.         // Clean for weights
.         local anything = subinstr("`anything'","[]","",.)
{txt}  9{com}. 
.   // Set up bar colors
.   if "`barcolor'" != "" {c -(}
{txt} 10{com}.     local colorCounter = 0
{txt} 11{com}.     foreach color in `barcolor' {c -(}
{txt} 12{com}.       local ++colorCounter
{txt} 13{com}.       local barColor`colorCounter' = ///
>         "fc(`: word `=`: list sizeof barcolor' - `colorCounter' + 1' of `barcolor'')"
{txt} 14{com}.     {c )-}
{txt} 15{com}.   {c )-}
{txt} 16{com}. 
.         // If no by or over - fill in
.                 if "`by'" == "" {c -(}
{txt} 17{com}.                         tempname fakebyvar
{txt} 18{com}.                         gen `fakebyvar' = 1
{txt} 19{com}.                         local by = "\`fakebyvar'"
{txt} 20{com}.                         local byoff = 1
{txt} 21{com}.                 {c )-}
{txt} 22{com}.                 else local byoff = 0
{txt} 23{com}. 
.                 if "`over'" == "" {c -(}
{txt} 24{com}.                         tempname fakeovervar
{txt} 25{com}.                         gen `fakeovervar' = 1
{txt} 26{com}.                         local over = "\`fakeovervar'"
{txt} 27{com}.                         label def fakeover 1 "Total"
{txt} 28{com}.                                 label val `fakeovervar' fakeover
{txt} 29{com}.                 {c )-}
{txt} 30{com}. 
.         // Save this dataset for loops
.         tempfile allData
{txt} 31{com}.                 save `allData' , replace
{txt} 32{com}. 
.         // Initialize results dataset
.         clear
{txt} 33{com}.                 tempfile results
{txt} 34{com}.                 save `results' , emptyok
{txt} 35{com}. 
.         // Horizonal-vertical settings
.         if "`vertical'" == "" local horizontal "horizontal"
{txt} 36{com}.         if "`horizontal'" != "" {c -(}
{txt} 37{com}.                 local axis y
{txt} 38{com}.         {c )-}
{txt} 39{com}.         else {c -(}
{txt} 40{com}.                 local axis x
{txt} 41{com}.         {c )-}
{txt} 42{com}. 
. // Get means and bounds
. 
.         // Loop over by-groups
.         use `allData' , clear
{txt} 43{com}.   unab theVarlist: `anything'
{txt} 44{com}.         levelsof `by' , local(bylevels)
{txt} 45{com}.         foreach bylevel in `bylevels' {c -(}
{txt} 46{com}.                 // Mean respecting over-groups
.                 use `allData' , clear
{txt} 47{com}.     unab anything : `anything'
{txt} 48{com}.                 foreach var of varlist `anything' {c -(}
{txt} 49{com}.                         count if `by' == `bylevel' & `var' < .
{txt} 50{com}.                         if `r(N)' == 0 replace `var' = 0 if `by' == `bylevel'
{txt} 51{com}.                 {c )-}
{txt} 52{com}.                 keep if `by' == `bylevel'
{txt} 53{com}. 
.     tempname a
{txt} 54{com}.     cap mat drop `a'
{txt} 55{com}.     foreach var of varlist `anything' {c -(}
{txt} 56{com}.                 mean `var' [`weight'`exp'] ///
>         , over(`over' , nolabel) `vce'
{txt} 57{com}. 
.       mat theseStats = r(table)
{txt} 58{com}.       mat `a' = nullmat(`a') ///
>         , theseStats
{txt} 59{com}.     {c )-}
{txt} 60{com}. 
.                 clear
{txt} 61{com}.                 svmat `a' , n(eqcol)
{txt} 62{com}. 
.     foreach var in `theVarlist' {c -(}
{txt} 63{com}.       foreach lab in `e(over_labels)' {c -(}
{txt} 64{com}.         rename `var'`lab' `var'_`lab'
{txt} 65{com}.       {c )-}
{txt} 66{com}.     {c )-}
{txt} 67{com}.                 rename * stat_*
{txt} 68{com}. 
.                 gen `by' = `bylevel'
{txt} 69{com}. 
.                 local x = 0
{txt} 70{com}.                 foreach var of varlist stat_* {c -(}
{txt} 71{com}.                         replace `var' = `x' in 9
{txt} 72{com}.                         local ++x
{txt} 73{com}.                 {c )-}
{txt} 74{com}. 
.                 append using `results'
{txt} 75{com}.                 save `results' , replace
{txt} 76{com}.         {c )-}
{txt} 77{com}. 
. // Set up graphing points
. 
.         // Find means and bounds
.     tempvar type
{txt} 78{com}.                 gen `type' = mod(_n,9)
{txt} 79{com}.                 reshape long stat_ , i(`by' `type') j(n) string
{txt} 80{com}. 
.         // Sort order
.                 tempvar temp
{txt} 81{com}.                 gen `temp' = stat_ if `type' == 0
{txt} 82{com}.                 bys n: egen order = min(`temp')
{txt} 83{com}.                 drop `temp'
{txt} 84{com}. 
.                 gen so = 0
{txt} 85{com}.                 local item_n = -1
{txt} 86{com}.                 foreach item in `anything' {c -(}
{txt} 87{com}.                         replace so = `item_n' if substr(n,1,strrpos(n,"_")-1) == "`item'"
{txt} 88{com}.                         local --item_n
{txt} 89{com}.                 {c )-}
{txt} 90{com}. 
.     tempvar overvar
{txt} 91{com}.     gen `overvar' = real(substr(n,-1,.))
{txt} 92{com}. 
.     if "`vertical'" != "" {c -(}
{txt} 93{com}.       gsort + `by' + so + `overvar' + n + order + `type'
{txt} 94{com}.     {c )-}
{txt} 95{com}.     else {c -(}
{txt} 96{com}.       gsort - `by' + so - `overvar' + n + order + `type'
{txt} 97{com}.     {c )-}
{txt} 98{com}. 
.                 keep if `type' == 1 | `type' == 5 | `type' == 6
{txt} 99{com}.                 gen place = _n - mod(_n,3)
{txt}100{com}.                         replace place = place - 3 if mod(_n,3) == 0
{txt}101{com}.                         drop order
{txt}102{com}. 
.                         reshape wide stat_ , i(n `by') j(`type')
{txt}103{com}.                         sort place
{txt}104{com}. 
.         // Gaps
.                 local x = 0
{txt}105{com}.                 count
{txt}106{com}.                 forvalues i = 1/`r(N)' {c -(}
{txt}107{com}.                         if `by'[`i'] != `by'[`=`i'-1'] local x = `x'+3
{txt}108{com}.                         replace place = place + `x' - 1 in `i'
{txt}109{com}.                 {c )-}
{txt}110{com}. 
.         // Save statistics dataset
.         save `results' , replace
{txt}111{com}. 
. // Prep the graph
. 
.         // Graph commands with info from base dataset
.         use `allData' , clear
{txt}112{com}.                 local x = 0
{txt}113{com}.                 levelsof `over' , local(olevels)
{txt}114{com}.                 foreach level in `olevels' {c -(}
{txt}115{com}.                         local ++x
{txt}116{com}.                         local theLabel : label (`over') `level'
{txt}117{com}.                         count if `over' == `level'
{txt}118{com}.                         if "`n'" != "" local theN " (N=`r(N)')"
{txt}119{com}.                         local theBars `"`theBars' (bar stat_1 place if n == "`level'" , `barColor`x'' barw(2) fi(100) lw(thin) `la' lc(white) `horizontal' ) "'
{txt}120{com}.                         local theLegend `"`theLegend' `x' "`theLabel'`theN'""'
{txt}121{com}.                 {c )-}
{txt}122{com}.                 // Get variable labels
.                 foreach var in `anything' {c -(}
{txt}123{com}.                         local `var' : var label `var'
{txt}124{com}.                 {c )-}
{txt}125{com}.                 // By-labels
.                 foreach level in `bylevels' {c -(}
{txt}126{com}.                         local `level' : label (`by') `level'
{txt}127{com}.                 {c )-}
{txt}128{com}. 
.         // Use statistics dataset for final graph
.         use `results' , clear
{txt}129{com}. 
.                 // Set up CI plot
.                 if "`ci'" == "ci" local ++x
{txt}130{com}.                 if "`ci'" == "ci" local ciplot `"(rspike stat_5 stat_6 place , lc(black) `horizontal' legend(label(`x' "95% CI")))"'
{txt}131{com}.                 local ++x
{txt}132{com}. 
.                 // Set up bar labels
.                 gen lab = strofreal(stat_1,"%9.2f")
{txt}133{com}.     if "`pct'" == "pct" replace lab = subinstr(lab,".0",".",.)
{txt}134{com}.     if "`pct'" == "pct" replace lab = subinstr(lab,"0.","",.) + "%"
{txt}135{com}.     if "`pct'" == "pct" replace lab = subinstr(lab,"1.","1",.)
{txt}136{com}.                 if "`format'" != "" replace lab = strofreal(stat_1,"`format'")
{txt}137{com}.                 if "`barlab'" != "" & "`ci'" == "ci" & "`vertical'" == "" local blabplot "(scatter place stat_6  , m(none) mlab(lab) mlabpos(3) mlabc(black) )"
{txt}138{com}.                 if "`barlab'" != "" & "`ci'" == ""   & "`vertical'" == "" local blabplot "(scatter place stat_1  , m(none) mlab(lab) mlabpos(3) mlabc(black) )"
{txt}139{com}.                 if "`barlab'" != "" & "`ci'" == "ci" & "`vertical'" != "" local blabplot "(scatter stat_6 place , m(none) mlab(lab) mlabpos(12) mlabc(black) )"
{txt}140{com}.                 if "`barlab'" != "" & "`ci'" == ""   & "`vertical'" != "" local blabplot "(scatter stat_1 place , m(none) mlab(lab) mlabpos(12) mlabc(black) )"
{txt}141{com}.     if "`barlab'" != "" & "`ci'" == "ci" replace stat_6 = stat_1 if stat_6 == .
{txt}142{com}. 
.                 // Set up variable names
. 
.                 gen var = ""
{txt}143{com}.                 foreach var in `anything' {c -(}
{txt}144{com}.                         replace var = "``var''" if substr(n,1,strrpos(n,"_")-1) == "`var'"
{txt}145{com}.                         replace n = substr(n,strrpos(n,"_")+1,.) if substr(n,1,strrpos(n,"_")-1) == "`var'"
{txt}146{com}.                 {c )-}
{txt}147{com}. 
.                 // Gaps
.                 count
{txt}148{com}.                 forvalues i = 2/`r(N)' {c -(}
{txt}149{com}.                         if var[`i'] != var[`=`i'-1'] replace place = place + 3 if _n >= `i'
{txt}150{com}.                 {c )-}
{txt}151{com}. 
.                 // Set up by-levels
.                 foreach level in `bylevels' {c -(}
{txt}152{com}.                         foreach var in `anything' {c -(}
{txt}153{com}.                                 su place if `by' == `level' & var == "``var''"
{txt}154{com}.                                 if `byoff' != 1 & "`r(mean)'" != "" local varlabs `"`varlabs' `r(mean)' "``level''"  "'
{txt}155{com}.                                 else if "`r(mean)'" != "" local varlabs `"`varlabs' `r(mean)' "``var''"  "'
{txt}156{com}.                         {c )-}
{txt}157{com}.                 {c )-}
{txt}158{com}. 
. // Make the graph
. 
.         gen zero = 0
{txt}159{com}. 
.         tw ///
>                 `theBars'       ///
>                 `ciplot'        ///
>                 `blabplot'      ///
>                 (scatter zero zero , m (none) ) ///
>                 , xtitle(" ") ytitle(" ") legend(order(`theLegend')) ///
>                         `axis'lab(`varlabs' , angle(0) nogrid notick) ylab(,angle(0)) ///
>                         `options'
{txt}160{com}. 
. // end qui
. {c )-}
{txt}161{com}. end
{txt}
{com}. // Have a lovely day!
. 
{txt}end of do-file

{com}. 
. betterbarci etcc2 if treatment!=1 & etcc2!=., by(treatment) n barlab pct barcolor(gs10)
{txt}
{com}. graph export "etcc_means.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
etcc_means.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. generate etcc20y=etcc2 if yoruba==0
{txt}(891 missing values generated)

{com}. label var etcc20y "Non-Yoruba"
{txt}
{com}. generate etcc21y=etcc2 if yoruba==1
{txt}(922 missing values generated)

{com}. label var etcc21y Yoruba
{txt}
{com}. 
. generate etcc20t=etcc2 if trust2==0
{txt}(1,189 missing values generated)

{com}. label var etcc20t "Trust MPA More"
{txt}
{com}. generate etcc21t=etcc2 if trust2==1
{txt}(802 missing values generated)

{com}. label var etcc21t "Trust LIRS Weakly More"
{txt}
{com}. 
. generate etcc20s=etcc2 if service_access_d_b==0
{txt}(731 missing values generated)

{com}. label var etcc20s "Below-median Access to Services"
{txt}
{com}. generate etcc21s=etcc2 if service_access_d_b==1
{txt}(1,082 missing values generated)

{com}. label var etcc21s "Above-median Access to Services"
{txt}
{com}. 
. generate etcc20l=etcc2 if lirs_enforce==0
{txt}(703 missing values generated)

{com}. label var etcc20l "No Prior Contact w/LIRS"
{txt}
{com}. generate etcc21l=etcc2 if lirs_enforce==1
{txt}(1,110 missing values generated)

{com}. label var etcc21l "Prior Contact with LIRS"
{txt}
{com}. 
. generate etcc20m=etcc2 if mpa_enforce==0
{txt}(980 missing values generated)

{com}. label var etcc20m "No Prior Contact w/MPA"
{txt}
{com}. generate etcc21m=etcc2 if mpa_enforce==1
{txt}(833 missing values generated)

{com}. label var etcc21m "Prior Contact with MPA"
{txt}
{com}. 
. 
. betterbarci etcc20y etcc21y etcc20t etcc21t etcc20s etcc21s etcc20l etcc21l etcc20m etcc21m if treatment!=1 & etcc2!=., n barlab pct barcolor(gs10)
{txt}
{com}. graph export "etcc_means_mods.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
etcc_means_mods.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. 
. // Fig 3
. reg etcc2 i.T_messenger##i.trust2 i.market_size i.rent_dummy i.yoruba i.lirs_connect i.friends_market i.club, robust

{txt}Linear regression                               Number of obs     = {res}       842
                                                {txt}F(16, 825)        =  {res}     2.38
                                                {txt}Prob > F          = {res}    0.0018
                                                {txt}R-squared         = {res}    0.0513
                                                {txt}Root MSE          =    {res} .33542

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0455953{col 57}{space 2} .0544388{col 68}{space 1}   -0.84{col 77}{space 3}0.403{col 85}{space 4}-.1524501{col 98}{space 3} .0612595
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.1060541{col 57}{space 2} .0506752{col 68}{space 1}   -2.09{col 77}{space 3}0.037{col 85}{space 4}-.2055215{col 98}{space 3}-.0065867
{txt}{space 43} {c |}
{space 37}trust2 {c |}
{space 20}Trust LIRS weakly more  {c |}{col 45}{res}{space 2}-.0993845{col 57}{space 2} .0472543{col 68}{space 1}   -2.10{col 77}{space 3}0.036{col 85}{space 4}-.1921373{col 98}{space 3}-.0066317
{txt}{space 43} {c |}
{space 25}T_messenger#trust2 {c |}
{space 5}Informal Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .0644181{col 57}{space 2}  .063191{col 68}{space 1}    1.02{col 77}{space 3}0.308{col 85}{space 4}-.0596159{col 98}{space 3}  .188452
{txt}{space 8}State Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .1998337{col 57}{space 2} .0619424{col 68}{space 1}    3.23{col 77}{space 3}0.001{col 85}{space 4} .0782505{col 98}{space 3} .3214169
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0398283{col 57}{space 2} .0418712{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4}-.0423583{col 98}{space 3} .1220149
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0264067{col 57}{space 2} .0440314{col 68}{space 1}   -0.60{col 77}{space 3}0.549{col 85}{space 4}-.1128334{col 98}{space 3}   .06002
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0756373{col 57}{space 2}  .038966{col 68}{space 1}   -1.94{col 77}{space 3}0.053{col 85}{space 4}-.1521215{col 98}{space 3}  .000847
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0071646{col 57}{space 2}  .030744{col 68}{space 1}   -0.23{col 77}{space 3}0.816{col 85}{space 4}-.0675102{col 98}{space 3}  .053181
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0392287{col 57}{space 2} .0338452{col 68}{space 1}    1.16{col 77}{space 3}0.247{col 85}{space 4}-.0272042{col 98}{space 3} .1056615
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0194664{col 57}{space 2} .0333792{col 68}{space 1}    0.58{col 77}{space 3}0.560{col 85}{space 4}-.0460518{col 98}{space 3} .0849845
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2}  .058728{col 57}{space 2} .0235541{col 68}{space 1}    2.49{col 77}{space 3}0.013{col 85}{space 4} .0124951{col 98}{space 3}  .104961
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2}  .030768{col 57}{space 2} .0254862{col 68}{space 1}    1.21{col 77}{space 3}0.228{col 85}{space 4}-.0192573{col 98}{space 3} .0807933
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0204735{col 57}{space 2} .0237112{col 68}{space 1}    0.86{col 77}{space 3}0.388{col 85}{space 4}-.0260679{col 98}{space 3} .0670148
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0454304{col 57}{space 2} .0268126{col 68}{space 1}    1.69{col 77}{space 3}0.091{col 85}{space 4}-.0071984{col 98}{space 3} .0980593
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0079365{col 57}{space 2}  .035434{col 68}{space 1}    0.22{col 77}{space 3}0.823{col 85}{space 4}-.0616149{col 98}{space 3}  .077488
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .1353036{col 57}{space 2} .0593037{col 68}{space 1}    2.28{col 77}{space 3}0.023{col 85}{space 4} .0188997{col 98}{space 3} .2517074
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[1.T_messenger#1.trust2]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,9]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(1.T_messenger) at(trust2=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:842}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.T_messenger}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 6:trust2} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 6:trust2} = {res:{ralign 1:1}}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_messenger {col 16}{txt}{c |}  (base outcome)
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.T_messenger  {txt}{c |}
{space 11}_at {c |}
{space 12}1  {c |}{col 16}{res}{space 2}-.0455953{col 28}{space 2} .0544388{col 39}{space 1}   -0.84{col 48}{space 3}0.403{col 56}{space 4}-.1524501{col 69}{space 3} .0612595
{txt}{space 12}2  {c |}{col 16}{res}{space 2} .0188228{col 28}{space 2} .0317844{col 39}{space 1}    0.59{col 48}{space 3}0.554{col 56}{space 4} -.043565{col 69}{space 3} .0812105
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Trust MPA more" 1 "Trust LIRS weakly more", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("MPA Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     ///
>         legend(off) name(mpa, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:trust2}{p_end}
{res}{txt}
{com}.         
. reg etcc2 i.T_messenger##i.trust2 i.market_size i.rent_dummy i.yoruba i.lirs_connect i.friends_market i.club, robust

{txt}Linear regression                               Number of obs     = {res}       842
                                                {txt}F(16, 825)        =  {res}     2.38
                                                {txt}Prob > F          = {res}    0.0018
                                                {txt}R-squared         = {res}    0.0513
                                                {txt}Root MSE          =    {res} .33542

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0455953{col 57}{space 2} .0544388{col 68}{space 1}   -0.84{col 77}{space 3}0.403{col 85}{space 4}-.1524501{col 98}{space 3} .0612595
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.1060541{col 57}{space 2} .0506752{col 68}{space 1}   -2.09{col 77}{space 3}0.037{col 85}{space 4}-.2055215{col 98}{space 3}-.0065867
{txt}{space 43} {c |}
{space 37}trust2 {c |}
{space 20}Trust LIRS weakly more  {c |}{col 45}{res}{space 2}-.0993845{col 57}{space 2} .0472543{col 68}{space 1}   -2.10{col 77}{space 3}0.036{col 85}{space 4}-.1921373{col 98}{space 3}-.0066317
{txt}{space 43} {c |}
{space 25}T_messenger#trust2 {c |}
{space 5}Informal Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .0644181{col 57}{space 2}  .063191{col 68}{space 1}    1.02{col 77}{space 3}0.308{col 85}{space 4}-.0596159{col 98}{space 3}  .188452
{txt}{space 8}State Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .1998337{col 57}{space 2} .0619424{col 68}{space 1}    3.23{col 77}{space 3}0.001{col 85}{space 4} .0782505{col 98}{space 3} .3214169
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0398283{col 57}{space 2} .0418712{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4}-.0423583{col 98}{space 3} .1220149
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0264067{col 57}{space 2} .0440314{col 68}{space 1}   -0.60{col 77}{space 3}0.549{col 85}{space 4}-.1128334{col 98}{space 3}   .06002
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0756373{col 57}{space 2}  .038966{col 68}{space 1}   -1.94{col 77}{space 3}0.053{col 85}{space 4}-.1521215{col 98}{space 3}  .000847
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0071646{col 57}{space 2}  .030744{col 68}{space 1}   -0.23{col 77}{space 3}0.816{col 85}{space 4}-.0675102{col 98}{space 3}  .053181
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0392287{col 57}{space 2} .0338452{col 68}{space 1}    1.16{col 77}{space 3}0.247{col 85}{space 4}-.0272042{col 98}{space 3} .1056615
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0194664{col 57}{space 2} .0333792{col 68}{space 1}    0.58{col 77}{space 3}0.560{col 85}{space 4}-.0460518{col 98}{space 3} .0849845
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2}  .058728{col 57}{space 2} .0235541{col 68}{space 1}    2.49{col 77}{space 3}0.013{col 85}{space 4} .0124951{col 98}{space 3}  .104961
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2}  .030768{col 57}{space 2} .0254862{col 68}{space 1}    1.21{col 77}{space 3}0.228{col 85}{space 4}-.0192573{col 98}{space 3} .0807933
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0204735{col 57}{space 2} .0237112{col 68}{space 1}    0.86{col 77}{space 3}0.388{col 85}{space 4}-.0260679{col 98}{space 3} .0670148
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0454304{col 57}{space 2} .0268126{col 68}{space 1}    1.69{col 77}{space 3}0.091{col 85}{space 4}-.0071984{col 98}{space 3} .0980593
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0079365{col 57}{space 2}  .035434{col 68}{space 1}    0.22{col 77}{space 3}0.823{col 85}{space 4}-.0616149{col 98}{space 3}  .077488
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .1353036{col 57}{space 2} .0593037{col 68}{space 1}    2.28{col 77}{space 3}0.023{col 85}{space 4} .0188997{col 98}{space 3} .2517074
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[2.T_messenger#1.trust2]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,11]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(2.T_messenger) at(trust2=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:842}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:2.T_messenger}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 6:trust2} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 6:trust2} = {res:{ralign 1:1}}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_messenger {col 16}{txt}{c |}  (base outcome)
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.T_messenger  {txt}{c |}
{space 11}_at {c |}
{space 12}1  {c |}{col 16}{res}{space 2}-.1060541{col 28}{space 2} .0506752{col 39}{space 1}   -2.09{col 48}{space 3}0.037{col 56}{space 4}-.2055215{col 69}{space 3}-.0065867
{txt}{space 12}2  {c |}{col 16}{res}{space 2} .0937796{col 28}{space 2} .0353114{col 39}{space 1}    2.66{col 48}{space 3}0.008{col 56}{space 4} .0244689{col 69}{space 3} .1630903
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Trust MPA more" 1 "Trust LIRS weakly more", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("LIRS Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     /// 
>         legend(off) yscale(off) name(lirs, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:trust2}{p_end}
{res}{txt}
{com}. 
. gr combine mpa lirs, ycommon xcommon graphregion(color(white)) rows(1) b2title("Marginal Effects with 95% CI", pos(12))
{res}{txt}
{com}. graph export "etcc2ByTrustmargins_trust2.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
etcc2ByTrustmargins_trust2.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. 
. // Fig 4 
. 
. reg etcc2 i.T_message##i.service_access_d_b $controls , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(19, 971)        =  {res}     2.02
                                                {txt}Prob > F          = {res}    0.0061
                                                {txt}R-squared         = {res}    0.0418
                                                {txt}Root MSE          =    {res} .33275

{txt}{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                        etcc2{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_message {c |}
{space 33}Enforcement  {c |}{col 47}{res}{space 2}-.0279582{col 59}{space 2} .0317624{col 70}{space 1}   -0.88{col 79}{space 3}0.379{col 87}{space 4} -.090289{col 100}{space 3} .0343726
{txt}{space 32}Public Goods  {c |}{col 47}{res}{space 2}-.0016921{col 59}{space 2} .0332364{col 70}{space 1}   -0.05{col 79}{space 3}0.959{col 87}{space 4}-.0669155{col 100}{space 3} .0635312
{txt}{space 45} {c |}
{space 27}service_access_d_b {c |}
{space 13}Above-median access to services  {c |}{col 47}{res}{space 2}-.0449541{col 59}{space 2} .0375338{col 70}{space 1}   -1.20{col 79}{space 3}0.231{col 87}{space 4}-.1186109{col 100}{space 3} .0287027
{txt}{space 45} {c |}
{space 17}T_message#service_access_d_b {c |}
{space 1}Enforcement#Above-median access to services  {c |}{col 47}{res}{space 2}  .148659{col 59}{space 2} .0574805{col 70}{space 1}    2.59{col 79}{space 3}0.010{col 87}{space 4} .0358588{col 100}{space 3} .2614592
{txt}Public Goods#Above-median access to services  {c |}{col 47}{res}{space 2} .0209649{col 59}{space 2} .0536188{col 70}{space 1}    0.39{col 79}{space 3}0.696{col 87}{space 4}-.0842571{col 100}{space 3} .1261869
{txt}{space 45} {c |}
{space 34}market_size {c |}
{space 26}6 to 34 interviews  {c |}{col 47}{res}{space 2} .0225458{col 59}{space 2} .0391962{col 70}{space 1}    0.58{col 79}{space 3}0.565{col 87}{space 4}-.0543733{col 100}{space 3} .0994649
{txt}{space 25}35 to 79 interviews  {c |}{col 47}{res}{space 2}-.0440638{col 59}{space 2} .0409583{col 70}{space 1}   -1.08{col 79}{space 3}0.282{col 87}{space 4}-.1244408{col 100}{space 3} .0363132
{txt}{space 29}> 79 interviews  {c |}{col 47}{res}{space 2}-.0644971{col 59}{space 2} .0372001{col 70}{space 1}   -1.73{col 79}{space 3}0.083{col 87}{space 4}-.1374989{col 100}{space 3} .0085048
{txt}{space 45} {c |}
{space 35}rent_dummy {c |}
{space 30}N3751 to N7000  {c |}{col 47}{res}{space 2} .0119932{col 59}{space 2} .0281729{col 70}{space 1}    0.43{col 79}{space 3}0.670{col 87}{space 4}-.0432935{col 100}{space 3} .0672799
{txt}{space 29}N7001 to N15000  {c |}{col 47}{res}{space 2} .0502048{col 59}{space 2}  .031637{col 70}{space 1}    1.59{col 79}{space 3}0.113{col 87}{space 4}  -.01188{col 100}{space 3} .1122896
{txt}{space 36}> N15000  {c |}{col 47}{res}{space 2} .0279531{col 59}{space 2} .0300194{col 70}{space 1}    0.93{col 79}{space 3}0.352{col 87}{space 4}-.0309572{col 100}{space 3} .0868634
{txt}{space 45} {c |}
{space 39}yoruba {c |}
{space 38}Yoruba  {c |}{col 47}{res}{space 2} .0716538{col 59}{space 2} .0223276{col 70}{space 1}    3.21{col 79}{space 3}0.001{col 87}{space 4} .0278379{col 100}{space 3} .1154696
{txt}{space 45} {c |}
{space 40}trust {c |}
{space 24}Trust state IRS more  {c |}{col 47}{res}{space 2} .0078833{col 59}{space 2} .0349384{col 70}{space 1}    0.23{col 79}{space 3}0.822{col 87}{space 4}-.0606802{col 100}{space 3} .0764468
{txt}{space 10}Trust marketplace association more  {c |}{col 47}{res}{space 2} .0140997{col 59}{space 2} .0260232{col 70}{space 1}    0.54{col 79}{space 3}0.588{col 87}{space 4}-.0369686{col 100}{space 3} .0651679
{txt}{space 6}No response recorded/Refused to answer  {c |}{col 47}{res}{space 2}-.0071996{col 59}{space 2} .0309403{col 70}{space 1}   -0.23{col 79}{space 3}0.816{col 87}{space 4}-.0679171{col 100}{space 3}  .053518
{txt}{space 45} {c |}
{space 33}lirs_connect {c |}
{space 2}Vendor has prior connection with state IRS  {c |}{col 47}{res}{space 2} .0289255{col 59}{space 2} .0243481{col 70}{space 1}    1.19{col 79}{space 3}0.235{col 87}{space 4}-.0188555{col 100}{space 3} .0767066
{txt}{space 45} {c |}
{space 31}friends_market {c |}
{space 12}Vendor has friends in the market  {c |}{col 47}{res}{space 2}   .01518{col 59}{space 2}  .021272{col 70}{space 1}    0.71{col 79}{space 3}0.476{col 87}{space 4}-.0265645{col 100}{space 3} .0569244
{txt}{space 45} {c |}
{space 41}club {c |}
{space 24}Yes, one association  {c |}{col 47}{res}{space 2} .0435983{col 59}{space 2} .0242781{col 70}{space 1}    1.80{col 79}{space 3}0.073{col 87}{space 4}-.0040453{col 100}{space 3}  .091242
{txt}{space 22}Yes, many associations  {c |}{col 47}{res}{space 2} .0415533{col 59}{space 2} .0342946{col 70}{space 1}    1.21{col 79}{space 3}0.226{col 87}{space 4}-.0257467{col 100}{space 3} .1088534
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2} .0659765{col 59}{space 2} .0459322{col 70}{space 1}    1.44{col 79}{space 3}0.151{col 87}{space 4}-.0241612{col 100}{space 3} .1561142
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[1.T_message#1.service_access_d_b]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,9]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(1.T_message) at(service_access_d_b=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:991}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.T_message}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 18:service_access_d_b} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 18:service_access_d_b} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.T_message  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0279582{col 26}{space 2} .0317624{col 37}{space 1}   -0.88{col 46}{space 3}0.379{col 54}{space 4} -.090289{col 67}{space 3} .0343726
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1207008{col 26}{space 2} .0476477{col 37}{space 1}    2.53{col 46}{space 3}0.011{col 54}{space 4} .0271964{col 67}{space 3} .2142052
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Below-median" 1 "Above-Median", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Enforcement Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     ///
>         legend(off) name(enforcement, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:service_access_d_b}{p_end}
{res}{txt}
{com}. 
. reg etcc2 i.T_message##i.service_access_d_b $controls , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(19, 971)        =  {res}     2.02
                                                {txt}Prob > F          = {res}    0.0061
                                                {txt}R-squared         = {res}    0.0418
                                                {txt}Root MSE          =    {res} .33275

{txt}{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                        etcc2{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_message {c |}
{space 33}Enforcement  {c |}{col 47}{res}{space 2}-.0279582{col 59}{space 2} .0317624{col 70}{space 1}   -0.88{col 79}{space 3}0.379{col 87}{space 4} -.090289{col 100}{space 3} .0343726
{txt}{space 32}Public Goods  {c |}{col 47}{res}{space 2}-.0016921{col 59}{space 2} .0332364{col 70}{space 1}   -0.05{col 79}{space 3}0.959{col 87}{space 4}-.0669155{col 100}{space 3} .0635312
{txt}{space 45} {c |}
{space 27}service_access_d_b {c |}
{space 13}Above-median access to services  {c |}{col 47}{res}{space 2}-.0449541{col 59}{space 2} .0375338{col 70}{space 1}   -1.20{col 79}{space 3}0.231{col 87}{space 4}-.1186109{col 100}{space 3} .0287027
{txt}{space 45} {c |}
{space 17}T_message#service_access_d_b {c |}
{space 1}Enforcement#Above-median access to services  {c |}{col 47}{res}{space 2}  .148659{col 59}{space 2} .0574805{col 70}{space 1}    2.59{col 79}{space 3}0.010{col 87}{space 4} .0358588{col 100}{space 3} .2614592
{txt}Public Goods#Above-median access to services  {c |}{col 47}{res}{space 2} .0209649{col 59}{space 2} .0536188{col 70}{space 1}    0.39{col 79}{space 3}0.696{col 87}{space 4}-.0842571{col 100}{space 3} .1261869
{txt}{space 45} {c |}
{space 34}market_size {c |}
{space 26}6 to 34 interviews  {c |}{col 47}{res}{space 2} .0225458{col 59}{space 2} .0391962{col 70}{space 1}    0.58{col 79}{space 3}0.565{col 87}{space 4}-.0543733{col 100}{space 3} .0994649
{txt}{space 25}35 to 79 interviews  {c |}{col 47}{res}{space 2}-.0440638{col 59}{space 2} .0409583{col 70}{space 1}   -1.08{col 79}{space 3}0.282{col 87}{space 4}-.1244408{col 100}{space 3} .0363132
{txt}{space 29}> 79 interviews  {c |}{col 47}{res}{space 2}-.0644971{col 59}{space 2} .0372001{col 70}{space 1}   -1.73{col 79}{space 3}0.083{col 87}{space 4}-.1374989{col 100}{space 3} .0085048
{txt}{space 45} {c |}
{space 35}rent_dummy {c |}
{space 30}N3751 to N7000  {c |}{col 47}{res}{space 2} .0119932{col 59}{space 2} .0281729{col 70}{space 1}    0.43{col 79}{space 3}0.670{col 87}{space 4}-.0432935{col 100}{space 3} .0672799
{txt}{space 29}N7001 to N15000  {c |}{col 47}{res}{space 2} .0502048{col 59}{space 2}  .031637{col 70}{space 1}    1.59{col 79}{space 3}0.113{col 87}{space 4}  -.01188{col 100}{space 3} .1122896
{txt}{space 36}> N15000  {c |}{col 47}{res}{space 2} .0279531{col 59}{space 2} .0300194{col 70}{space 1}    0.93{col 79}{space 3}0.352{col 87}{space 4}-.0309572{col 100}{space 3} .0868634
{txt}{space 45} {c |}
{space 39}yoruba {c |}
{space 38}Yoruba  {c |}{col 47}{res}{space 2} .0716538{col 59}{space 2} .0223276{col 70}{space 1}    3.21{col 79}{space 3}0.001{col 87}{space 4} .0278379{col 100}{space 3} .1154696
{txt}{space 45} {c |}
{space 40}trust {c |}
{space 24}Trust state IRS more  {c |}{col 47}{res}{space 2} .0078833{col 59}{space 2} .0349384{col 70}{space 1}    0.23{col 79}{space 3}0.822{col 87}{space 4}-.0606802{col 100}{space 3} .0764468
{txt}{space 10}Trust marketplace association more  {c |}{col 47}{res}{space 2} .0140997{col 59}{space 2} .0260232{col 70}{space 1}    0.54{col 79}{space 3}0.588{col 87}{space 4}-.0369686{col 100}{space 3} .0651679
{txt}{space 6}No response recorded/Refused to answer  {c |}{col 47}{res}{space 2}-.0071996{col 59}{space 2} .0309403{col 70}{space 1}   -0.23{col 79}{space 3}0.816{col 87}{space 4}-.0679171{col 100}{space 3}  .053518
{txt}{space 45} {c |}
{space 33}lirs_connect {c |}
{space 2}Vendor has prior connection with state IRS  {c |}{col 47}{res}{space 2} .0289255{col 59}{space 2} .0243481{col 70}{space 1}    1.19{col 79}{space 3}0.235{col 87}{space 4}-.0188555{col 100}{space 3} .0767066
{txt}{space 45} {c |}
{space 31}friends_market {c |}
{space 12}Vendor has friends in the market  {c |}{col 47}{res}{space 2}   .01518{col 59}{space 2}  .021272{col 70}{space 1}    0.71{col 79}{space 3}0.476{col 87}{space 4}-.0265645{col 100}{space 3} .0569244
{txt}{space 45} {c |}
{space 41}club {c |}
{space 24}Yes, one association  {c |}{col 47}{res}{space 2} .0435983{col 59}{space 2} .0242781{col 70}{space 1}    1.80{col 79}{space 3}0.073{col 87}{space 4}-.0040453{col 100}{space 3}  .091242
{txt}{space 22}Yes, many associations  {c |}{col 47}{res}{space 2} .0415533{col 59}{space 2} .0342946{col 70}{space 1}    1.21{col 79}{space 3}0.226{col 87}{space 4}-.0257467{col 100}{space 3} .1088534
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2} .0659765{col 59}{space 2} .0459322{col 70}{space 1}    1.44{col 79}{space 3}0.151{col 87}{space 4}-.0241612{col 100}{space 3} .1561142
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[2.T_message#1.service_access_d_b]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,11]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(2.T_message) at(service_access_d_b=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:991}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:2.T_message}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 18:service_access_d_b} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 18:service_access_d_b} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.T_message  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0016921{col 26}{space 2} .0332364{col 37}{space 1}   -0.05{col 46}{space 3}0.959{col 54}{space 4}-.0669155{col 67}{space 3} .0635312
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0192728{col 26}{space 2} .0420686{col 37}{space 1}    0.46{col 46}{space 3}0.647{col 54}{space 4}-.0632832{col 67}{space 3} .1018287
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Below-median" 1 "Above-Median", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Public Goods Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     /// 
>         legend(off) yscale(off) name(pg, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:service_access_d_b}{p_end}
{res}{txt}
{com}. 
. gr combine pg enforcement, ycommon xcommon graphregion(color(white)) rows(1) b2title("Marginal Effects with 95% CI", pos(12)) b1title("Access to Services", pos(6) size(small) ring(0)) 
{res}{txt}
{com}. graph export "service_etcc2_message_mfx.pdf", replace
{txt}{p 0 4 2}
file {bf}
service_etcc2_message_mfx.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // Fig 5
. 
. reg etcc2 i.T_message##i.lirs_enforce i.market_size i.rent_dummy i.yoruba i.trust i.friends_market i.club if T_messenger!=1, r

{txt}Linear regression                               Number of obs     = {res}       655
                                                {txt}F(18, 636)        =  {res}     1.19
                                                {txt}Prob > F          = {res}    0.2603
                                                {txt}R-squared         = {res}    0.0358
                                                {txt}Root MSE          =    {res} .34307

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                                  etcc2{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      t{col 73}   P>|t|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 30}T_message {c |}
{space 27}Enforcement  {c |}{col 41}{res}{space 2} .0248095{col 53}{space 2} .0395406{col 64}{space 1}    0.63{col 73}{space 3}0.531{col 81}{space 4}-.0528364{col 94}{space 3} .1024554
{txt}{space 26}Public Goods  {c |}{col 41}{res}{space 2} .0122407{col 53}{space 2} .0389577{col 64}{space 1}    0.31{col 73}{space 3}0.753{col 81}{space 4}-.0642605{col 94}{space 3} .0887419
{txt}{space 39} {c |}
{space 25}1.lirs_enforce {c |}{col 41}{res}{space 2} .0136213{col 53}{space 2} .0409756{col 64}{space 1}    0.33{col 73}{space 3}0.740{col 81}{space 4}-.0668426{col 94}{space 3} .0940852
{txt}{space 39} {c |}
{space 17}T_message#lirs_enforce {c |}
{space 25}Enforcement#1  {c |}{col 41}{res}{space 2} .0615714{col 53}{space 2}  .075337{col 64}{space 1}    0.82{col 73}{space 3}0.414{col 81}{space 4}-.0863679{col 94}{space 3} .2095107
{txt}{space 24}Public Goods#1  {c |}{col 41}{res}{space 2} .0143214{col 53}{space 2}  .069579{col 64}{space 1}    0.21{col 73}{space 3}0.837{col 81}{space 4} -.122311{col 94}{space 3} .1509538
{txt}{space 39} {c |}
{space 28}market_size {c |}
{space 20}6 to 34 interviews  {c |}{col 41}{res}{space 2} .0315794{col 53}{space 2} .0482202{col 64}{space 1}    0.65{col 73}{space 3}0.513{col 81}{space 4}-.0631106{col 94}{space 3} .1262694
{txt}{space 19}35 to 79 interviews  {c |}{col 41}{res}{space 2}-.0638499{col 53}{space 2} .0493766{col 64}{space 1}   -1.29{col 73}{space 3}0.196{col 81}{space 4}-.1608108{col 94}{space 3} .0331109
{txt}{space 23}> 79 interviews  {c |}{col 41}{res}{space 2}-.0583386{col 53}{space 2} .0456324{col 64}{space 1}   -1.28{col 73}{space 3}0.202{col 81}{space 4} -.147947{col 94}{space 3} .0312698
{txt}{space 39} {c |}
{space 29}rent_dummy {c |}
{space 24}N3751 to N7000  {c |}{col 41}{res}{space 2} .0480848{col 53}{space 2} .0360499{col 64}{space 1}    1.33{col 73}{space 3}0.183{col 81}{space 4}-.0227064{col 94}{space 3}  .118876
{txt}{space 23}N7001 to N15000  {c |}{col 41}{res}{space 2} .0477909{col 53}{space 2} .0392819{col 64}{space 1}    1.22{col 73}{space 3}0.224{col 81}{space 4}-.0293469{col 94}{space 3} .1249287
{txt}{space 30}> N15000  {c |}{col 41}{res}{space 2} .0313747{col 53}{space 2} .0373237{col 64}{space 1}    0.84{col 73}{space 3}0.401{col 81}{space 4}-.0419179{col 94}{space 3} .1046673
{txt}{space 39} {c |}
{space 33}yoruba {c |}
{space 32}Yoruba  {c |}{col 41}{res}{space 2} .0542205{col 53}{space 2} .0281122{col 64}{space 1}    1.93{col 73}{space 3}0.054{col 81}{space 4}-.0009834{col 94}{space 3} .1094244
{txt}{space 39} {c |}
{space 34}trust {c |}
{space 18}Trust state IRS more  {c |}{col 41}{res}{space 2}-.0076704{col 53}{space 2} .0429293{col 64}{space 1}   -0.18{col 73}{space 3}0.858{col 81}{space 4}-.0919706{col 94}{space 3} .0766298
{txt}{space 4}Trust marketplace association more  {c |}{col 41}{res}{space 2} -.003535{col 53}{space 2} .0327374{col 64}{space 1}   -0.11{col 73}{space 3}0.914{col 81}{space 4}-.0678216{col 94}{space 3} .0607515
{txt}No response recorded/Refused to answer  {c |}{col 41}{res}{space 2}-.0054635{col 53}{space 2} .0396269{col 64}{space 1}   -0.14{col 73}{space 3}0.890{col 81}{space 4}-.0832788{col 94}{space 3} .0723517
{txt}{space 39} {c |}
{space 25}friends_market {c |}
{space 6}Vendor has friends in the market  {c |}{col 41}{res}{space 2} .0335834{col 53}{space 2} .0269553{col 64}{space 1}    1.25{col 73}{space 3}0.213{col 81}{space 4}-.0193488{col 94}{space 3} .0865156
{txt}{space 39} {c |}
{space 35}club {c |}
{space 18}Yes, one association  {c |}{col 41}{res}{space 2} .0232689{col 53}{space 2}  .030526{col 64}{space 1}    0.76{col 73}{space 3}0.446{col 81}{space 4}-.0366751{col 94}{space 3} .0832128
{txt}{space 16}Yes, many associations  {c |}{col 41}{res}{space 2}-.0066913{col 53}{space 2} .0405062{col 64}{space 1}   -0.17{col 73}{space 3}0.869{col 81}{space 4}-.0862333{col 94}{space 3} .0728507
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} .0622274{col 53}{space 2} .0527098{col 64}{space 1}    1.18{col 73}{space 3}0.238{col 81}{space 4}-.0412789{col 94}{space 3} .1657337
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[1.T_message#1.lirs_enforce]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,9]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(1.T_message) at(lirs_enforce=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:655}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.T_message}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 12:lirs_enforce} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 12:lirs_enforce} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.T_message  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0248095{col 26}{space 2} .0395406{col 37}{space 1}    0.63{col 46}{space 3}0.531{col 54}{space 4}-.0528364{col 67}{space 3} .1024554
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0863809{col 26}{space 2} .0640042{col 37}{space 1}    1.35{col 46}{space 3}0.178{col 54}{space 4}-.0393042{col 67}{space 3}  .212066
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "No Contact w/ LIRS" 1 "Contact w/ LIRS", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Enforcement Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     ///
>         legend(off) name(enforcement, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:lirs_enforce}{p_end}
{res}{txt}
{com}. 
. reg etcc2 i.T_message##i.lirs_enforce i.market_size i.rent_dummy i.yoruba i.trust i.friends_market i.club if T_messenger!=1, r

{txt}Linear regression                               Number of obs     = {res}       655
                                                {txt}F(18, 636)        =  {res}     1.19
                                                {txt}Prob > F          = {res}    0.2603
                                                {txt}R-squared         = {res}    0.0358
                                                {txt}Root MSE          =    {res} .34307

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                                  etcc2{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      t{col 73}   P>|t|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 30}T_message {c |}
{space 27}Enforcement  {c |}{col 41}{res}{space 2} .0248095{col 53}{space 2} .0395406{col 64}{space 1}    0.63{col 73}{space 3}0.531{col 81}{space 4}-.0528364{col 94}{space 3} .1024554
{txt}{space 26}Public Goods  {c |}{col 41}{res}{space 2} .0122407{col 53}{space 2} .0389577{col 64}{space 1}    0.31{col 73}{space 3}0.753{col 81}{space 4}-.0642605{col 94}{space 3} .0887419
{txt}{space 39} {c |}
{space 25}1.lirs_enforce {c |}{col 41}{res}{space 2} .0136213{col 53}{space 2} .0409756{col 64}{space 1}    0.33{col 73}{space 3}0.740{col 81}{space 4}-.0668426{col 94}{space 3} .0940852
{txt}{space 39} {c |}
{space 17}T_message#lirs_enforce {c |}
{space 25}Enforcement#1  {c |}{col 41}{res}{space 2} .0615714{col 53}{space 2}  .075337{col 64}{space 1}    0.82{col 73}{space 3}0.414{col 81}{space 4}-.0863679{col 94}{space 3} .2095107
{txt}{space 24}Public Goods#1  {c |}{col 41}{res}{space 2} .0143214{col 53}{space 2}  .069579{col 64}{space 1}    0.21{col 73}{space 3}0.837{col 81}{space 4} -.122311{col 94}{space 3} .1509538
{txt}{space 39} {c |}
{space 28}market_size {c |}
{space 20}6 to 34 interviews  {c |}{col 41}{res}{space 2} .0315794{col 53}{space 2} .0482202{col 64}{space 1}    0.65{col 73}{space 3}0.513{col 81}{space 4}-.0631106{col 94}{space 3} .1262694
{txt}{space 19}35 to 79 interviews  {c |}{col 41}{res}{space 2}-.0638499{col 53}{space 2} .0493766{col 64}{space 1}   -1.29{col 73}{space 3}0.196{col 81}{space 4}-.1608108{col 94}{space 3} .0331109
{txt}{space 23}> 79 interviews  {c |}{col 41}{res}{space 2}-.0583386{col 53}{space 2} .0456324{col 64}{space 1}   -1.28{col 73}{space 3}0.202{col 81}{space 4} -.147947{col 94}{space 3} .0312698
{txt}{space 39} {c |}
{space 29}rent_dummy {c |}
{space 24}N3751 to N7000  {c |}{col 41}{res}{space 2} .0480848{col 53}{space 2} .0360499{col 64}{space 1}    1.33{col 73}{space 3}0.183{col 81}{space 4}-.0227064{col 94}{space 3}  .118876
{txt}{space 23}N7001 to N15000  {c |}{col 41}{res}{space 2} .0477909{col 53}{space 2} .0392819{col 64}{space 1}    1.22{col 73}{space 3}0.224{col 81}{space 4}-.0293469{col 94}{space 3} .1249287
{txt}{space 30}> N15000  {c |}{col 41}{res}{space 2} .0313747{col 53}{space 2} .0373237{col 64}{space 1}    0.84{col 73}{space 3}0.401{col 81}{space 4}-.0419179{col 94}{space 3} .1046673
{txt}{space 39} {c |}
{space 33}yoruba {c |}
{space 32}Yoruba  {c |}{col 41}{res}{space 2} .0542205{col 53}{space 2} .0281122{col 64}{space 1}    1.93{col 73}{space 3}0.054{col 81}{space 4}-.0009834{col 94}{space 3} .1094244
{txt}{space 39} {c |}
{space 34}trust {c |}
{space 18}Trust state IRS more  {c |}{col 41}{res}{space 2}-.0076704{col 53}{space 2} .0429293{col 64}{space 1}   -0.18{col 73}{space 3}0.858{col 81}{space 4}-.0919706{col 94}{space 3} .0766298
{txt}{space 4}Trust marketplace association more  {c |}{col 41}{res}{space 2} -.003535{col 53}{space 2} .0327374{col 64}{space 1}   -0.11{col 73}{space 3}0.914{col 81}{space 4}-.0678216{col 94}{space 3} .0607515
{txt}No response recorded/Refused to answer  {c |}{col 41}{res}{space 2}-.0054635{col 53}{space 2} .0396269{col 64}{space 1}   -0.14{col 73}{space 3}0.890{col 81}{space 4}-.0832788{col 94}{space 3} .0723517
{txt}{space 39} {c |}
{space 25}friends_market {c |}
{space 6}Vendor has friends in the market  {c |}{col 41}{res}{space 2} .0335834{col 53}{space 2} .0269553{col 64}{space 1}    1.25{col 73}{space 3}0.213{col 81}{space 4}-.0193488{col 94}{space 3} .0865156
{txt}{space 39} {c |}
{space 35}club {c |}
{space 18}Yes, one association  {c |}{col 41}{res}{space 2} .0232689{col 53}{space 2}  .030526{col 64}{space 1}    0.76{col 73}{space 3}0.446{col 81}{space 4}-.0366751{col 94}{space 3} .0832128
{txt}{space 16}Yes, many associations  {c |}{col 41}{res}{space 2}-.0066913{col 53}{space 2} .0405062{col 64}{space 1}   -0.17{col 73}{space 3}0.869{col 81}{space 4}-.0862333{col 94}{space 3} .0728507
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} .0622274{col 53}{space 2} .0527098{col 64}{space 1}    1.18{col 73}{space 3}0.238{col 81}{space 4}-.0412789{col 94}{space 3} .1657337
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[2.T_message#1.lirs_enforce]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,11]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(2.T_message) at(lirs_enforce=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:655}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:2.T_message}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 12:lirs_enforce} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 12:lirs_enforce} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.T_message  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0122407{col 26}{space 2} .0389577{col 37}{space 1}    0.31{col 46}{space 3}0.753{col 54}{space 4}-.0642605{col 67}{space 3} .0887419
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0265621{col 26}{space 2} .0584975{col 37}{space 1}    0.45{col 46}{space 3}0.650{col 54}{space 4}-.0883095{col 67}{space 3} .1414337
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "No Contact w/ LIRS" 1 "Contact w/ LIRS", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Public Goods Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     /// 
>         legend(off) yscale(off) name(pg, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:lirs_enforce}{p_end}
{res}{txt}
{com}. 
. gr combine pg enforcement, ycommon xcommon graphregion(color(white)) rows(1) b2title("Marginal Effects with 95% CI when LIRS Delivered Message", pos(12)) 
{res}{txt}
{com}. graph export "contactlirs_etcc2_message_mfx.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
contactlirs_etcc2_message_mfx.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. reg etcc2 i.T_message##i.mpa_enforce $controls if T_messenger!=2, r

{txt}Linear regression                               Number of obs     = {res}       654
                                                {txt}F(19, 634)        =  {res}     1.41
                                                {txt}Prob > F          = {res}    0.1156
                                                {txt}R-squared         = {res}    0.0472
                                                {txt}Root MSE          =    {res} .32131

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2}-.0212512{col 57}{space 2} .0449653{col 68}{space 1}   -0.47{col 77}{space 3}0.637{col 85}{space 4}-.1095501{col 98}{space 3} .0670478
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2}-.0587909{col 57}{space 2} .0427731{col 68}{space 1}   -1.37{col 77}{space 3}0.170{col 85}{space 4}-.1427849{col 98}{space 3} .0252031
{txt}{space 43} {c |}
{space 30}1.mpa_enforce {c |}{col 45}{res}{space 2}-.0002807{col 57}{space 2} .0373948{col 68}{space 1}   -0.01{col 77}{space 3}0.994{col 85}{space 4}-.0737134{col 98}{space 3} .0731521
{txt}{space 43} {c |}
{space 22}T_message#mpa_enforce {c |}
{space 29}Enforcement#1  {c |}{col 45}{res}{space 2} .0289732{col 57}{space 2} .0619801{col 68}{space 1}    0.47{col 77}{space 3}0.640{col 85}{space 4} -.092738{col 98}{space 3} .1506844
{txt}{space 28}Public Goods#1  {c |}{col 45}{res}{space 2} .0903688{col 57}{space 2}  .061982{col 68}{space 1}    1.46{col 77}{space 3}0.145{col 85}{space 4}-.0313459{col 98}{space 3} .2120836
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0080405{col 57}{space 2} .0487093{col 68}{space 1}   -0.17{col 77}{space 3}0.869{col 85}{space 4}-.1036916{col 98}{space 3} .0876105
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0332461{col 57}{space 2} .0531109{col 68}{space 1}   -0.63{col 77}{space 3}0.532{col 85}{space 4}-.1375407{col 98}{space 3} .0710485
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0790335{col 57}{space 2} .0466281{col 68}{space 1}   -1.69{col 77}{space 3}0.091{col 85}{space 4}-.1705977{col 98}{space 3} .0125306
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0137321{col 57}{space 2} .0335044{col 68}{space 1}   -0.41{col 77}{space 3}0.682{col 85}{space 4}-.0795252{col 98}{space 3} .0520609
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0460631{col 57}{space 2} .0383459{col 68}{space 1}    1.20{col 77}{space 3}0.230{col 85}{space 4}-.0292372{col 98}{space 3} .1213635
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0212648{col 57}{space 2} .0363372{col 68}{space 1}    0.59{col 77}{space 3}0.559{col 85}{space 4}-.0500911{col 98}{space 3} .0926207
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0924682{col 57}{space 2} .0259797{col 68}{space 1}    3.56{col 77}{space 3}0.000{col 85}{space 4} .0414516{col 98}{space 3} .1434848
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0043247{col 57}{space 2} .0405237{col 68}{space 1}    0.11{col 77}{space 3}0.915{col 85}{space 4}-.0752522{col 98}{space 3} .0839016
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0641269{col 57}{space 2} .0321862{col 68}{space 1}    1.99{col 77}{space 3}0.047{col 85}{space 4} .0009224{col 98}{space 3} .1273314
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .0037508{col 57}{space 2} .0364574{col 68}{space 1}    0.10{col 77}{space 3}0.918{col 85}{space 4} -.067841{col 98}{space 3} .0753425
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0141944{col 57}{space 2} .0285027{col 68}{space 1}    0.50{col 77}{space 3}0.619{col 85}{space 4}-.0417766{col 98}{space 3} .0701655
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2}-.0006647{col 57}{space 2} .0250633{col 68}{space 1}   -0.03{col 77}{space 3}0.979{col 85}{space 4}-.0498819{col 98}{space 3} .0485524
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0150049{col 57}{space 2} .0283314{col 68}{space 1}    0.53{col 77}{space 3}0.597{col 85}{space 4}-.0406298{col 98}{space 3} .0706395
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0220855{col 57}{space 2} .0392825{col 68}{space 1}    0.56{col 77}{space 3}0.574{col 85}{space 4} -.055054{col 98}{space 3}  .099225
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0724371{col 57}{space 2} .0561892{col 68}{space 1}    1.29{col 77}{space 3}0.198{col 85}{space 4}-.0379024{col 98}{space 3} .1827766
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[1.T_message#1.mpa_enforce]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,9]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(1.T_message) at(mpa_enforce=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:654}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.T_message}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 11:mpa_enforce} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 11:mpa_enforce} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.T_message  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0212512{col 26}{space 2} .0449653{col 37}{space 1}   -0.47{col 46}{space 3}0.637{col 54}{space 4}-.1095501{col 67}{space 3} .0670478
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0077221{col 26}{space 2} .0420944{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.0749393{col 67}{space 3} .0903834
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "No Contact w/ MPA" 1 "Contact w/ MPA", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Enforcement Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     ///
>         legend(off) name(enforcement, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mpa_enforce}{p_end}
{res}{txt}
{com}. 
. reg etcc2 i.T_message##i.mpa_enforce $controls if T_messenger!=2, r

{txt}Linear regression                               Number of obs     = {res}       654
                                                {txt}F(19, 634)        =  {res}     1.41
                                                {txt}Prob > F          = {res}    0.1156
                                                {txt}R-squared         = {res}    0.0472
                                                {txt}Root MSE          =    {res} .32131

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2}-.0212512{col 57}{space 2} .0449653{col 68}{space 1}   -0.47{col 77}{space 3}0.637{col 85}{space 4}-.1095501{col 98}{space 3} .0670478
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2}-.0587909{col 57}{space 2} .0427731{col 68}{space 1}   -1.37{col 77}{space 3}0.170{col 85}{space 4}-.1427849{col 98}{space 3} .0252031
{txt}{space 43} {c |}
{space 30}1.mpa_enforce {c |}{col 45}{res}{space 2}-.0002807{col 57}{space 2} .0373948{col 68}{space 1}   -0.01{col 77}{space 3}0.994{col 85}{space 4}-.0737134{col 98}{space 3} .0731521
{txt}{space 43} {c |}
{space 22}T_message#mpa_enforce {c |}
{space 29}Enforcement#1  {c |}{col 45}{res}{space 2} .0289732{col 57}{space 2} .0619801{col 68}{space 1}    0.47{col 77}{space 3}0.640{col 85}{space 4} -.092738{col 98}{space 3} .1506844
{txt}{space 28}Public Goods#1  {c |}{col 45}{res}{space 2} .0903688{col 57}{space 2}  .061982{col 68}{space 1}    1.46{col 77}{space 3}0.145{col 85}{space 4}-.0313459{col 98}{space 3} .2120836
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0080405{col 57}{space 2} .0487093{col 68}{space 1}   -0.17{col 77}{space 3}0.869{col 85}{space 4}-.1036916{col 98}{space 3} .0876105
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0332461{col 57}{space 2} .0531109{col 68}{space 1}   -0.63{col 77}{space 3}0.532{col 85}{space 4}-.1375407{col 98}{space 3} .0710485
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0790335{col 57}{space 2} .0466281{col 68}{space 1}   -1.69{col 77}{space 3}0.091{col 85}{space 4}-.1705977{col 98}{space 3} .0125306
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0137321{col 57}{space 2} .0335044{col 68}{space 1}   -0.41{col 77}{space 3}0.682{col 85}{space 4}-.0795252{col 98}{space 3} .0520609
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0460631{col 57}{space 2} .0383459{col 68}{space 1}    1.20{col 77}{space 3}0.230{col 85}{space 4}-.0292372{col 98}{space 3} .1213635
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0212648{col 57}{space 2} .0363372{col 68}{space 1}    0.59{col 77}{space 3}0.559{col 85}{space 4}-.0500911{col 98}{space 3} .0926207
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0924682{col 57}{space 2} .0259797{col 68}{space 1}    3.56{col 77}{space 3}0.000{col 85}{space 4} .0414516{col 98}{space 3} .1434848
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0043247{col 57}{space 2} .0405237{col 68}{space 1}    0.11{col 77}{space 3}0.915{col 85}{space 4}-.0752522{col 98}{space 3} .0839016
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0641269{col 57}{space 2} .0321862{col 68}{space 1}    1.99{col 77}{space 3}0.047{col 85}{space 4} .0009224{col 98}{space 3} .1273314
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .0037508{col 57}{space 2} .0364574{col 68}{space 1}    0.10{col 77}{space 3}0.918{col 85}{space 4} -.067841{col 98}{space 3} .0753425
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0141944{col 57}{space 2} .0285027{col 68}{space 1}    0.50{col 77}{space 3}0.619{col 85}{space 4}-.0417766{col 98}{space 3} .0701655
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2}-.0006647{col 57}{space 2} .0250633{col 68}{space 1}   -0.03{col 77}{space 3}0.979{col 85}{space 4}-.0498819{col 98}{space 3} .0485524
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0150049{col 57}{space 2} .0283314{col 68}{space 1}    0.53{col 77}{space 3}0.597{col 85}{space 4}-.0406298{col 98}{space 3} .0706395
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0220855{col 57}{space 2} .0392825{col 68}{space 1}    0.56{col 77}{space 3}0.574{col 85}{space 4} -.055054{col 98}{space 3}  .099225
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0724371{col 57}{space 2} .0561892{col 68}{space 1}    1.29{col 77}{space 3}0.198{col 85}{space 4}-.0379024{col 98}{space 3} .1827766
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[2.T_message#1.mpa_enforce]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,11]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(2.T_message) at(mpa_enforce=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:654}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:2.T_message}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 11:mpa_enforce} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 11:mpa_enforce} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.T_message  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0587909{col 26}{space 2} .0427731{col 37}{space 1}   -1.37{col 46}{space 3}0.170{col 54}{space 4}-.1427849{col 67}{space 3} .0252031
{txt}{space 10}2  {c |}{col 14}{res}{space 2}  .031578{col 26}{space 2} .0440126{col 37}{space 1}    0.72{col 46}{space 3}0.473{col 54}{space 4}-.0548501{col 67}{space 3} .1180061
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "No Contact w/ MPA" 1 "Contact w/ MPA", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Public Goods Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     /// 
>         legend(off) yscale(off) name(pg, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mpa_enforce}{p_end}
{res}{txt}
{com}. 
. gr combine pg enforcement, ycommon xcommon graphregion(color(white)) rows(1) b2title("Marginal Effects with 95% CI when MPA Delivered Message", pos(12)) 
{res}{txt}
{com}. graph export "contactmpa_etcc2_message_mfx.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
contactmpa_etcc2_message_mfx.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // Fig 6
. 
. reg etcc2 i.T_messenger##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(18, 972)        =  {res}     2.16
                                                {txt}Prob > F          = {res}    0.0033
                                                {txt}R-squared         = {res}    0.0371
                                                {txt}Root MSE          =    {res} .33339

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0065182{col 57}{space 2} .0293283{col 68}{space 1}   -0.22{col 77}{space 3}0.824{col 85}{space 4}-.0640723{col 98}{space 3}  .051036
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0642809{col 57}{space 2} .0340712{col 68}{space 1}    1.89{col 77}{space 3}0.060{col 85}{space 4}-.0025807{col 98}{space 3} .1311425
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0879015{col 57}{space 2} .0373768{col 68}{space 1}    2.35{col 77}{space 3}0.019{col 85}{space 4}  .014553{col 98}{space 3}   .16125
{txt}{space 43} {c |}
{space 25}T_messenger#yoruba {c |}
{space 21}Informal Agent#Yoruba  {c |}{col 45}{res}{space 2} .0061017{col 57}{space 2} .0507832{col 68}{space 1}    0.12{col 77}{space 3}0.904{col 85}{space 4}-.0935556{col 98}{space 3} .1057591
{txt}{space 24}State Agent#Yoruba  {c |}{col 45}{res}{space 2}-.0659508{col 57}{space 2} .0537009{col 68}{space 1}   -1.23{col 77}{space 3}0.220{col 85}{space 4}-.1713339{col 98}{space 3} .0394323
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0255639{col 57}{space 2} .0389625{col 68}{space 1}    0.66{col 77}{space 3}0.512{col 85}{space 4}-.0508963{col 98}{space 3} .1020242
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0452891{col 57}{space 2} .0406527{col 68}{space 1}   -1.11{col 77}{space 3}0.266{col 85}{space 4}-.1250663{col 98}{space 3}  .034488
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0684105{col 57}{space 2} .0367184{col 68}{space 1}   -1.86{col 77}{space 3}0.063{col 85}{space 4} -.140467{col 98}{space 3} .0036459
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0126052{col 57}{space 2} .0279926{col 68}{space 1}    0.45{col 77}{space 3}0.653{col 85}{space 4}-.0423277{col 98}{space 3}  .067538
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0548513{col 57}{space 2} .0317816{col 68}{space 1}    1.73{col 77}{space 3}0.085{col 85}{space 4}-.0075171{col 98}{space 3} .1172197
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0280736{col 57}{space 2} .0295273{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4} -.029871{col 98}{space 3} .0860183
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0007543{col 57}{space 2} .0347888{col 68}{space 1}    0.02{col 77}{space 3}0.983{col 85}{space 4}-.0675156{col 98}{space 3} .0690241
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0092635{col 57}{space 2} .0261095{col 68}{space 1}    0.35{col 77}{space 3}0.723{col 85}{space 4} -.041974{col 98}{space 3}  .060501
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0101277{col 57}{space 2} .0306978{col 68}{space 1}   -0.33{col 77}{space 3}0.742{col 85}{space 4}-.0703694{col 98}{space 3}  .050114
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0248075{col 57}{space 2}  .024124{col 68}{space 1}    1.03{col 77}{space 3}0.304{col 85}{space 4}-.0225337{col 98}{space 3} .0721487
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0170264{col 57}{space 2} .0214484{col 68}{space 1}    0.79{col 77}{space 3}0.427{col 85}{space 4}-.0250642{col 98}{space 3} .0591169
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0399592{col 57}{space 2} .0244084{col 68}{space 1}    1.64{col 77}{space 3}0.102{col 85}{space 4}  -.00794{col 98}{space 3} .0878584
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0386716{col 57}{space 2} .0345262{col 68}{space 1}    1.12{col 77}{space 3}0.263{col 85}{space 4}-.0290828{col 98}{space 3} .1064261
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0456542{col 57}{space 2} .0440872{col 68}{space 1}    1.04{col 77}{space 3}0.301{col 85}{space 4}-.0408628{col 98}{space 3} .1321712
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[1.T_messenger#1.yoruba]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,9]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(1.T_messenger) at(yoruba=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:991}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.T_messenger}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 6:yoruba} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 6:yoruba} = {res:{ralign 1:1}}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_messenger {col 16}{txt}{c |}  (base outcome)
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.T_messenger  {txt}{c |}
{space 11}_at {c |}
{space 12}1  {c |}{col 16}{res}{space 2}-.0065182{col 28}{space 2} .0293283{col 39}{space 1}   -0.22{col 48}{space 3}0.824{col 56}{space 4}-.0640723{col 69}{space 3}  .051036
{txt}{space 12}2  {c |}{col 16}{res}{space 2}-.0004165{col 28}{space 2} .0413061{col 39}{space 1}   -0.01{col 48}{space 3}0.992{col 56}{space 4}-.0814759{col 69}{space 3} .0806429
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Non-Yoruba" 1 "Yoruba", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("MPA Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     ///
>         legend(off) name(mpa, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:yoruba}{p_end}
{res}{txt}
{com}. 
. reg etcc2 i.T_messenger##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(18, 972)        =  {res}     2.16
                                                {txt}Prob > F          = {res}    0.0033
                                                {txt}R-squared         = {res}    0.0371
                                                {txt}Root MSE          =    {res} .33339

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0065182{col 57}{space 2} .0293283{col 68}{space 1}   -0.22{col 77}{space 3}0.824{col 85}{space 4}-.0640723{col 98}{space 3}  .051036
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0642809{col 57}{space 2} .0340712{col 68}{space 1}    1.89{col 77}{space 3}0.060{col 85}{space 4}-.0025807{col 98}{space 3} .1311425
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0879015{col 57}{space 2} .0373768{col 68}{space 1}    2.35{col 77}{space 3}0.019{col 85}{space 4}  .014553{col 98}{space 3}   .16125
{txt}{space 43} {c |}
{space 25}T_messenger#yoruba {c |}
{space 21}Informal Agent#Yoruba  {c |}{col 45}{res}{space 2} .0061017{col 57}{space 2} .0507832{col 68}{space 1}    0.12{col 77}{space 3}0.904{col 85}{space 4}-.0935556{col 98}{space 3} .1057591
{txt}{space 24}State Agent#Yoruba  {c |}{col 45}{res}{space 2}-.0659508{col 57}{space 2} .0537009{col 68}{space 1}   -1.23{col 77}{space 3}0.220{col 85}{space 4}-.1713339{col 98}{space 3} .0394323
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0255639{col 57}{space 2} .0389625{col 68}{space 1}    0.66{col 77}{space 3}0.512{col 85}{space 4}-.0508963{col 98}{space 3} .1020242
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0452891{col 57}{space 2} .0406527{col 68}{space 1}   -1.11{col 77}{space 3}0.266{col 85}{space 4}-.1250663{col 98}{space 3}  .034488
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0684105{col 57}{space 2} .0367184{col 68}{space 1}   -1.86{col 77}{space 3}0.063{col 85}{space 4} -.140467{col 98}{space 3} .0036459
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0126052{col 57}{space 2} .0279926{col 68}{space 1}    0.45{col 77}{space 3}0.653{col 85}{space 4}-.0423277{col 98}{space 3}  .067538
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0548513{col 57}{space 2} .0317816{col 68}{space 1}    1.73{col 77}{space 3}0.085{col 85}{space 4}-.0075171{col 98}{space 3} .1172197
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0280736{col 57}{space 2} .0295273{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4} -.029871{col 98}{space 3} .0860183
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0007543{col 57}{space 2} .0347888{col 68}{space 1}    0.02{col 77}{space 3}0.983{col 85}{space 4}-.0675156{col 98}{space 3} .0690241
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0092635{col 57}{space 2} .0261095{col 68}{space 1}    0.35{col 77}{space 3}0.723{col 85}{space 4} -.041974{col 98}{space 3}  .060501
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0101277{col 57}{space 2} .0306978{col 68}{space 1}   -0.33{col 77}{space 3}0.742{col 85}{space 4}-.0703694{col 98}{space 3}  .050114
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0248075{col 57}{space 2}  .024124{col 68}{space 1}    1.03{col 77}{space 3}0.304{col 85}{space 4}-.0225337{col 98}{space 3} .0721487
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0170264{col 57}{space 2} .0214484{col 68}{space 1}    0.79{col 77}{space 3}0.427{col 85}{space 4}-.0250642{col 98}{space 3} .0591169
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0399592{col 57}{space 2} .0244084{col 68}{space 1}    1.64{col 77}{space 3}0.102{col 85}{space 4}  -.00794{col 98}{space 3} .0878584
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0386716{col 57}{space 2} .0345262{col 68}{space 1}    1.12{col 77}{space 3}0.263{col 85}{space 4}-.0290828{col 98}{space 3} .1064261
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0456542{col 57}{space 2} .0440872{col 68}{space 1}    1.04{col 77}{space 3}0.301{col 85}{space 4}-.0408628{col 98}{space 3} .1321712
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[2.T_messenger#1.yoruba]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,11]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(2.T_messenger) at(yoruba=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:991}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:2.T_messenger}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 6:yoruba} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 6:yoruba} = {res:{ralign 1:1}}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_messenger {col 16}{txt}{c |}  (base outcome)
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.T_messenger  {txt}{c |}
{space 11}_at {c |}
{space 12}1  {c |}{col 16}{res}{space 2} .0642809{col 28}{space 2} .0340712{col 39}{space 1}    1.89{col 48}{space 3}0.060{col 56}{space 4}-.0025807{col 69}{space 3} .1311425
{txt}{space 12}2  {c |}{col 16}{res}{space 2}-.0016699{col 28}{space 2} .0416823{col 39}{space 1}   -0.04{col 48}{space 3}0.968{col 56}{space 4}-.0834675{col 69}{space 3} .0801277
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Non-Yoruba" 1 "Yoruba", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("LIRS Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     /// 
>         legend(off) yscale(off) name(lirs, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:yoruba}{p_end}
{res}{txt}
{com}. 
. gr combine mpa lirs, ycommon xcommon graphregion(color(white)) rows(1) b2title("Marginal Effects with 95% CI", pos(12))
{res}{txt}
{com}. graph export "etcc2ByYorubamargins2.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
etcc2ByYorubamargins2.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. reg etcc2 i.T_message##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(18, 972)        =  {res}     2.15
                                                {txt}Prob > F          = {res}    0.0036
                                                {txt}R-squared         = {res}    0.0384
                                                {txt}Root MSE          =    {res} .33319

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2} .0095943{col 57}{space 2}    .0302{col 68}{space 1}    0.32{col 77}{space 3}0.751{col 85}{space 4}-.0496703{col 98}{space 3} .0688589
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2} .0487215{col 57}{space 2} .0337049{col 68}{space 1}    1.45{col 77}{space 3}0.149{col 85}{space 4}-.0174212{col 98}{space 3} .1148643
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0881889{col 57}{space 2} .0373776{col 68}{space 1}    2.36{col 77}{space 3}0.019{col 85}{space 4} .0148388{col 98}{space 3}  .161539
{txt}{space 43} {c |}
{space 27}T_message#yoruba {c |}
{space 24}Enforcement#Yoruba  {c |}{col 45}{res}{space 2} .0269157{col 57}{space 2} .0529839{col 68}{space 1}    0.51{col 77}{space 3}0.612{col 85}{space 4}-.0770603{col 98}{space 3} .1308916
{txt}{space 23}Public Goods#Yoruba  {c |}{col 45}{res}{space 2}-.0852842{col 57}{space 2} .0520837{col 68}{space 1}   -1.64{col 77}{space 3}0.102{col 85}{space 4}-.1874936{col 98}{space 3} .0169252
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0212893{col 57}{space 2} .0387819{col 68}{space 1}    0.55{col 77}{space 3}0.583{col 85}{space 4}-.0548166{col 98}{space 3} .0973953
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0481688{col 57}{space 2} .0405591{col 68}{space 1}   -1.19{col 77}{space 3}0.235{col 85}{space 4}-.1277622{col 98}{space 3} .0314246
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0699155{col 57}{space 2} .0365901{col 68}{space 1}   -1.91{col 77}{space 3}0.056{col 85}{space 4}-.1417202{col 98}{space 3} .0018892
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0212756{col 57}{space 2} .0285432{col 68}{space 1}    0.75{col 77}{space 3}0.456{col 85}{space 4}-.0347377{col 98}{space 3} .0772889
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0577587{col 57}{space 2} .0319582{col 68}{space 1}    1.81{col 77}{space 3}0.071{col 85}{space 4}-.0049564{col 98}{space 3} .1204738
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0337085{col 57}{space 2} .0297966{col 68}{space 1}    1.13{col 77}{space 3}0.258{col 85}{space 4}-.0247645{col 98}{space 3} .0921816
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0030076{col 57}{space 2} .0348376{col 68}{space 1}    0.09{col 77}{space 3}0.931{col 85}{space 4}-.0653579{col 98}{space 3} .0713731
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0090441{col 57}{space 2} .0261547{col 68}{space 1}    0.35{col 77}{space 3}0.730{col 85}{space 4}-.0422821{col 98}{space 3} .0603703
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0072604{col 57}{space 2} .0308118{col 68}{space 1}   -0.24{col 77}{space 3}0.814{col 85}{space 4}-.0677256{col 98}{space 3} .0532048
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0247699{col 57}{space 2} .0241281{col 68}{space 1}    1.03{col 77}{space 3}0.305{col 85}{space 4}-.0225792{col 98}{space 3}  .072119
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0170635{col 57}{space 2} .0214532{col 68}{space 1}    0.80{col 77}{space 3}0.427{col 85}{space 4}-.0250364{col 98}{space 3} .0591633
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0435618{col 57}{space 2} .0243729{col 68}{space 1}    1.79{col 77}{space 3}0.074{col 85}{space 4}-.0042678{col 98}{space 3} .0913914
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0402308{col 57}{space 2} .0343631{col 68}{space 1}    1.17{col 77}{space 3}0.242{col 85}{space 4}-.0272035{col 98}{space 3} .1076652
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0417423{col 57}{space 2} .0439105{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4} -.044428{col 98}{space 3} .1279127
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[1.T_message#1.yoruba]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,9]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(1.T_message) at(yoruba=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:991}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.T_message}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 6:yoruba} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 6:yoruba} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.T_message  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0095943{col 26}{space 2}    .0302{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.0496703{col 67}{space 3} .0688589
{txt}{space 10}2  {c |}{col 14}{res}{space 2}   .03651{col 26}{space 2} .0434835{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-.0488225{col 67}{space 3} .1218424
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Non-Yoruba" 1 "Yoruba", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Enforcement Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     ///
>         legend(off) name(mpa, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:yoruba}{p_end}
{res}{txt}
{com}. 
. reg etcc2 i.i.T_message##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(18, 972)        =  {res}     2.15
                                                {txt}Prob > F          = {res}    0.0036
                                                {txt}R-squared         = {res}    0.0384
                                                {txt}Root MSE          =    {res} .33319

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2} .0095943{col 57}{space 2}    .0302{col 68}{space 1}    0.32{col 77}{space 3}0.751{col 85}{space 4}-.0496703{col 98}{space 3} .0688589
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2} .0487215{col 57}{space 2} .0337049{col 68}{space 1}    1.45{col 77}{space 3}0.149{col 85}{space 4}-.0174212{col 98}{space 3} .1148643
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0881889{col 57}{space 2} .0373776{col 68}{space 1}    2.36{col 77}{space 3}0.019{col 85}{space 4} .0148388{col 98}{space 3}  .161539
{txt}{space 43} {c |}
{space 27}T_message#yoruba {c |}
{space 24}Enforcement#Yoruba  {c |}{col 45}{res}{space 2} .0269157{col 57}{space 2} .0529839{col 68}{space 1}    0.51{col 77}{space 3}0.612{col 85}{space 4}-.0770603{col 98}{space 3} .1308916
{txt}{space 23}Public Goods#Yoruba  {c |}{col 45}{res}{space 2}-.0852842{col 57}{space 2} .0520837{col 68}{space 1}   -1.64{col 77}{space 3}0.102{col 85}{space 4}-.1874936{col 98}{space 3} .0169252
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0212893{col 57}{space 2} .0387819{col 68}{space 1}    0.55{col 77}{space 3}0.583{col 85}{space 4}-.0548166{col 98}{space 3} .0973953
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0481688{col 57}{space 2} .0405591{col 68}{space 1}   -1.19{col 77}{space 3}0.235{col 85}{space 4}-.1277622{col 98}{space 3} .0314246
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0699155{col 57}{space 2} .0365901{col 68}{space 1}   -1.91{col 77}{space 3}0.056{col 85}{space 4}-.1417202{col 98}{space 3} .0018892
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0212756{col 57}{space 2} .0285432{col 68}{space 1}    0.75{col 77}{space 3}0.456{col 85}{space 4}-.0347377{col 98}{space 3} .0772889
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0577587{col 57}{space 2} .0319582{col 68}{space 1}    1.81{col 77}{space 3}0.071{col 85}{space 4}-.0049564{col 98}{space 3} .1204738
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0337085{col 57}{space 2} .0297966{col 68}{space 1}    1.13{col 77}{space 3}0.258{col 85}{space 4}-.0247645{col 98}{space 3} .0921816
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0030076{col 57}{space 2} .0348376{col 68}{space 1}    0.09{col 77}{space 3}0.931{col 85}{space 4}-.0653579{col 98}{space 3} .0713731
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0090441{col 57}{space 2} .0261547{col 68}{space 1}    0.35{col 77}{space 3}0.730{col 85}{space 4}-.0422821{col 98}{space 3} .0603703
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0072604{col 57}{space 2} .0308118{col 68}{space 1}   -0.24{col 77}{space 3}0.814{col 85}{space 4}-.0677256{col 98}{space 3} .0532048
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0247699{col 57}{space 2} .0241281{col 68}{space 1}    1.03{col 77}{space 3}0.305{col 85}{space 4}-.0225792{col 98}{space 3}  .072119
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0170635{col 57}{space 2} .0214532{col 68}{space 1}    0.80{col 77}{space 3}0.427{col 85}{space 4}-.0250364{col 98}{space 3} .0591633
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0435618{col 57}{space 2} .0243729{col 68}{space 1}    1.79{col 77}{space 3}0.074{col 85}{space 4}-.0042678{col 98}{space 3} .0913914
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0402308{col 57}{space 2} .0343631{col 68}{space 1}    1.17{col 77}{space 3}0.242{col 85}{space 4}-.0272035{col 98}{space 3} .1076652
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0417423{col 57}{space 2} .0439105{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4} -.044428{col 98}{space 3} .1279127
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[2.T_message#1.yoruba]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,11]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(2.T_message) at(yoruba=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:991}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:2.T_message}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 6:yoruba} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 6:yoruba} = {res:{ralign 1:1}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.T_message  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0487215{col 26}{space 2} .0337049{col 37}{space 1}    1.45{col 46}{space 3}0.149{col 54}{space 4}-.0174212{col 67}{space 3} .1148643
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0365627{col 26}{space 2} .0396992{col 37}{space 1}   -0.92{col 46}{space 3}0.357{col 54}{space 4}-.1144686{col 67}{space 3} .0413432
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Non-Yoruba" 1 "Yoruba", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Public Goods Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     /// 
>         legend(off) yscale(off) name(lirs, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:yoruba}{p_end}
{res}{txt}
{com}. 
. gr combine mpa lirs, ycommon xcommon graphregion(color(white)) rows(1) b2title("Marginal Effects with 95% CI", pos(12))
{res}{txt}
{com}. graph export "etcc2ByYorubamargins3.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
etcc2ByYorubamargins3.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // Appendices
. 
. // Table 1
. 
. label var lirs_enforce "Prior Contact w/ LIRS"
{txt}
{com}. label var mpa_enforce "Prior Contact w/ MPA"
{txt}
{com}. 
. reg etcc2 i.T_messenger $controls , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(16, 974)        =  {res}     2.12
                                                {txt}Prob > F          = {res}    0.0061
                                                {txt}R-squared         = {res}    0.0348
                                                {txt}Root MSE          =    {res} .33346

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0035932{col 57}{space 2} .0252739{col 68}{space 1}   -0.14{col 77}{space 3}0.887{col 85}{space 4}-.0531909{col 98}{space 3} .0460044
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0319649{col 57}{space 2} .0269464{col 68}{space 1}    1.19{col 77}{space 3}0.236{col 85}{space 4}-.0209148{col 98}{space 3} .0848447
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0232547{col 57}{space 2} .0389708{col 68}{space 1}    0.60{col 77}{space 3}0.551{col 85}{space 4}-.0532216{col 98}{space 3} .0997311
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0475066{col 57}{space 2} .0406442{col 68}{space 1}   -1.17{col 77}{space 3}0.243{col 85}{space 4}-.1272669{col 98}{space 3} .0322538
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0687793{col 57}{space 2} .0366874{col 68}{space 1}   -1.87{col 77}{space 3}0.061{col 85}{space 4}-.1407747{col 98}{space 3} .0032162
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0120263{col 57}{space 2} .0280132{col 68}{space 1}    0.43{col 77}{space 3}0.668{col 85}{space 4}-.0429469{col 98}{space 3} .0669995
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0528513{col 57}{space 2} .0318347{col 68}{space 1}    1.66{col 77}{space 3}0.097{col 85}{space 4}-.0096212{col 98}{space 3} .1153239
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0275089{col 57}{space 2} .0295807{col 68}{space 1}    0.93{col 77}{space 3}0.353{col 85}{space 4}-.0305404{col 98}{space 3} .0855582
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0676023{col 57}{space 2} .0219011{col 68}{space 1}    3.09{col 77}{space 3}0.002{col 85}{space 4} .0246236{col 98}{space 3} .1105811
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0017035{col 57}{space 2} .0347629{col 68}{space 1}    0.05{col 77}{space 3}0.961{col 85}{space 4}-.0665154{col 98}{space 3} .0699224
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0096622{col 57}{space 2} .0261142{col 68}{space 1}    0.37{col 77}{space 3}0.711{col 85}{space 4}-.0415843{col 98}{space 3} .0609087
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0095928{col 57}{space 2} .0306764{col 68}{space 1}   -0.31{col 77}{space 3}0.755{col 85}{space 4}-.0697923{col 98}{space 3} .0506066
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2}  .025228{col 57}{space 2} .0242119{col 68}{space 1}    1.04{col 77}{space 3}0.298{col 85}{space 4}-.0222855{col 98}{space 3} .0727415
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0172787{col 57}{space 2}  .021412{col 68}{space 1}    0.81{col 77}{space 3}0.420{col 85}{space 4}-.0247402{col 98}{space 3} .0592976
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0414036{col 57}{space 2} .0242694{col 68}{space 1}    1.71{col 77}{space 3}0.088{col 85}{space 4}-.0062227{col 98}{space 3}   .08903
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0378408{col 57}{space 2} .0345568{col 68}{space 1}    1.10{col 77}{space 3}0.274{col 85}{space 4}-.0299737{col 98}{space 3} .1056552
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0569576{col 57}{space 2} .0440713{col 68}{space 1}    1.29{col 77}{space 3}0.197{col 85}{space 4} -.029528{col 98}{space 3} .1434432
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m0
{txt}
{com}. 
. reg etcc2 i.T_messenger##i.trust2 i.market_size i.rent_dummy i.yoruba i.lirs_connect i.friends_market i.club, robust

{txt}Linear regression                               Number of obs     = {res}       842
                                                {txt}F(16, 825)        =  {res}     2.38
                                                {txt}Prob > F          = {res}    0.0018
                                                {txt}R-squared         = {res}    0.0513
                                                {txt}Root MSE          =    {res} .33542

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0455953{col 57}{space 2} .0544388{col 68}{space 1}   -0.84{col 77}{space 3}0.403{col 85}{space 4}-.1524501{col 98}{space 3} .0612595
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.1060541{col 57}{space 2} .0506752{col 68}{space 1}   -2.09{col 77}{space 3}0.037{col 85}{space 4}-.2055215{col 98}{space 3}-.0065867
{txt}{space 43} {c |}
{space 37}trust2 {c |}
{space 20}Trust LIRS weakly more  {c |}{col 45}{res}{space 2}-.0993845{col 57}{space 2} .0472543{col 68}{space 1}   -2.10{col 77}{space 3}0.036{col 85}{space 4}-.1921373{col 98}{space 3}-.0066317
{txt}{space 43} {c |}
{space 25}T_messenger#trust2 {c |}
{space 5}Informal Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .0644181{col 57}{space 2}  .063191{col 68}{space 1}    1.02{col 77}{space 3}0.308{col 85}{space 4}-.0596159{col 98}{space 3}  .188452
{txt}{space 8}State Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .1998337{col 57}{space 2} .0619424{col 68}{space 1}    3.23{col 77}{space 3}0.001{col 85}{space 4} .0782505{col 98}{space 3} .3214169
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0398283{col 57}{space 2} .0418712{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4}-.0423583{col 98}{space 3} .1220149
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0264067{col 57}{space 2} .0440314{col 68}{space 1}   -0.60{col 77}{space 3}0.549{col 85}{space 4}-.1128334{col 98}{space 3}   .06002
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0756373{col 57}{space 2}  .038966{col 68}{space 1}   -1.94{col 77}{space 3}0.053{col 85}{space 4}-.1521215{col 98}{space 3}  .000847
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0071646{col 57}{space 2}  .030744{col 68}{space 1}   -0.23{col 77}{space 3}0.816{col 85}{space 4}-.0675102{col 98}{space 3}  .053181
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0392287{col 57}{space 2} .0338452{col 68}{space 1}    1.16{col 77}{space 3}0.247{col 85}{space 4}-.0272042{col 98}{space 3} .1056615
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0194664{col 57}{space 2} .0333792{col 68}{space 1}    0.58{col 77}{space 3}0.560{col 85}{space 4}-.0460518{col 98}{space 3} .0849845
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2}  .058728{col 57}{space 2} .0235541{col 68}{space 1}    2.49{col 77}{space 3}0.013{col 85}{space 4} .0124951{col 98}{space 3}  .104961
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2}  .030768{col 57}{space 2} .0254862{col 68}{space 1}    1.21{col 77}{space 3}0.228{col 85}{space 4}-.0192573{col 98}{space 3} .0807933
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0204735{col 57}{space 2} .0237112{col 68}{space 1}    0.86{col 77}{space 3}0.388{col 85}{space 4}-.0260679{col 98}{space 3} .0670148
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0454304{col 57}{space 2} .0268126{col 68}{space 1}    1.69{col 77}{space 3}0.091{col 85}{space 4}-.0071984{col 98}{space 3} .0980593
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0079365{col 57}{space 2}  .035434{col 68}{space 1}    0.22{col 77}{space 3}0.823{col 85}{space 4}-.0616149{col 98}{space 3}  .077488
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .1353036{col 57}{space 2} .0593037{col 68}{space 1}    2.28{col 77}{space 3}0.023{col 85}{space 4} .0188997{col 98}{space 3} .2517074
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m1
{txt}
{com}. 
. reg etcc2 i.T_message##i.service_access_d_b $controls , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(19, 971)        =  {res}     2.02
                                                {txt}Prob > F          = {res}    0.0061
                                                {txt}R-squared         = {res}    0.0418
                                                {txt}Root MSE          =    {res} .33275

{txt}{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                        etcc2{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_message {c |}
{space 33}Enforcement  {c |}{col 47}{res}{space 2}-.0279582{col 59}{space 2} .0317624{col 70}{space 1}   -0.88{col 79}{space 3}0.379{col 87}{space 4} -.090289{col 100}{space 3} .0343726
{txt}{space 32}Public Goods  {c |}{col 47}{res}{space 2}-.0016921{col 59}{space 2} .0332364{col 70}{space 1}   -0.05{col 79}{space 3}0.959{col 87}{space 4}-.0669155{col 100}{space 3} .0635312
{txt}{space 45} {c |}
{space 27}service_access_d_b {c |}
{space 13}Above-median access to services  {c |}{col 47}{res}{space 2}-.0449541{col 59}{space 2} .0375338{col 70}{space 1}   -1.20{col 79}{space 3}0.231{col 87}{space 4}-.1186109{col 100}{space 3} .0287027
{txt}{space 45} {c |}
{space 17}T_message#service_access_d_b {c |}
{space 1}Enforcement#Above-median access to services  {c |}{col 47}{res}{space 2}  .148659{col 59}{space 2} .0574805{col 70}{space 1}    2.59{col 79}{space 3}0.010{col 87}{space 4} .0358588{col 100}{space 3} .2614592
{txt}Public Goods#Above-median access to services  {c |}{col 47}{res}{space 2} .0209649{col 59}{space 2} .0536188{col 70}{space 1}    0.39{col 79}{space 3}0.696{col 87}{space 4}-.0842571{col 100}{space 3} .1261869
{txt}{space 45} {c |}
{space 34}market_size {c |}
{space 26}6 to 34 interviews  {c |}{col 47}{res}{space 2} .0225458{col 59}{space 2} .0391962{col 70}{space 1}    0.58{col 79}{space 3}0.565{col 87}{space 4}-.0543733{col 100}{space 3} .0994649
{txt}{space 25}35 to 79 interviews  {c |}{col 47}{res}{space 2}-.0440638{col 59}{space 2} .0409583{col 70}{space 1}   -1.08{col 79}{space 3}0.282{col 87}{space 4}-.1244408{col 100}{space 3} .0363132
{txt}{space 29}> 79 interviews  {c |}{col 47}{res}{space 2}-.0644971{col 59}{space 2} .0372001{col 70}{space 1}   -1.73{col 79}{space 3}0.083{col 87}{space 4}-.1374989{col 100}{space 3} .0085048
{txt}{space 45} {c |}
{space 35}rent_dummy {c |}
{space 30}N3751 to N7000  {c |}{col 47}{res}{space 2} .0119932{col 59}{space 2} .0281729{col 70}{space 1}    0.43{col 79}{space 3}0.670{col 87}{space 4}-.0432935{col 100}{space 3} .0672799
{txt}{space 29}N7001 to N15000  {c |}{col 47}{res}{space 2} .0502048{col 59}{space 2}  .031637{col 70}{space 1}    1.59{col 79}{space 3}0.113{col 87}{space 4}  -.01188{col 100}{space 3} .1122896
{txt}{space 36}> N15000  {c |}{col 47}{res}{space 2} .0279531{col 59}{space 2} .0300194{col 70}{space 1}    0.93{col 79}{space 3}0.352{col 87}{space 4}-.0309572{col 100}{space 3} .0868634
{txt}{space 45} {c |}
{space 39}yoruba {c |}
{space 38}Yoruba  {c |}{col 47}{res}{space 2} .0716538{col 59}{space 2} .0223276{col 70}{space 1}    3.21{col 79}{space 3}0.001{col 87}{space 4} .0278379{col 100}{space 3} .1154696
{txt}{space 45} {c |}
{space 40}trust {c |}
{space 24}Trust state IRS more  {c |}{col 47}{res}{space 2} .0078833{col 59}{space 2} .0349384{col 70}{space 1}    0.23{col 79}{space 3}0.822{col 87}{space 4}-.0606802{col 100}{space 3} .0764468
{txt}{space 10}Trust marketplace association more  {c |}{col 47}{res}{space 2} .0140997{col 59}{space 2} .0260232{col 70}{space 1}    0.54{col 79}{space 3}0.588{col 87}{space 4}-.0369686{col 100}{space 3} .0651679
{txt}{space 6}No response recorded/Refused to answer  {c |}{col 47}{res}{space 2}-.0071996{col 59}{space 2} .0309403{col 70}{space 1}   -0.23{col 79}{space 3}0.816{col 87}{space 4}-.0679171{col 100}{space 3}  .053518
{txt}{space 45} {c |}
{space 33}lirs_connect {c |}
{space 2}Vendor has prior connection with state IRS  {c |}{col 47}{res}{space 2} .0289255{col 59}{space 2} .0243481{col 70}{space 1}    1.19{col 79}{space 3}0.235{col 87}{space 4}-.0188555{col 100}{space 3} .0767066
{txt}{space 45} {c |}
{space 31}friends_market {c |}
{space 12}Vendor has friends in the market  {c |}{col 47}{res}{space 2}   .01518{col 59}{space 2}  .021272{col 70}{space 1}    0.71{col 79}{space 3}0.476{col 87}{space 4}-.0265645{col 100}{space 3} .0569244
{txt}{space 45} {c |}
{space 41}club {c |}
{space 24}Yes, one association  {c |}{col 47}{res}{space 2} .0435983{col 59}{space 2} .0242781{col 70}{space 1}    1.80{col 79}{space 3}0.073{col 87}{space 4}-.0040453{col 100}{space 3}  .091242
{txt}{space 22}Yes, many associations  {c |}{col 47}{res}{space 2} .0415533{col 59}{space 2} .0342946{col 70}{space 1}    1.21{col 79}{space 3}0.226{col 87}{space 4}-.0257467{col 100}{space 3} .1088534
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2} .0659765{col 59}{space 2} .0459322{col 70}{space 1}    1.44{col 79}{space 3}0.151{col 87}{space 4}-.0241612{col 100}{space 3} .1561142
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m2
{txt}
{com}. 
. reg etcc2 i.T_message##i.lirs_enforce i.market_size i.rent_dummy i.yoruba i.trust i.friends_market i.club if T_messenger!=1, r

{txt}Linear regression                               Number of obs     = {res}       655
                                                {txt}F(18, 636)        =  {res}     1.19
                                                {txt}Prob > F          = {res}    0.2603
                                                {txt}R-squared         = {res}    0.0358
                                                {txt}Root MSE          =    {res} .34307

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                                  etcc2{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      t{col 73}   P>|t|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 30}T_message {c |}
{space 27}Enforcement  {c |}{col 41}{res}{space 2} .0248095{col 53}{space 2} .0395406{col 64}{space 1}    0.63{col 73}{space 3}0.531{col 81}{space 4}-.0528364{col 94}{space 3} .1024554
{txt}{space 26}Public Goods  {c |}{col 41}{res}{space 2} .0122407{col 53}{space 2} .0389577{col 64}{space 1}    0.31{col 73}{space 3}0.753{col 81}{space 4}-.0642605{col 94}{space 3} .0887419
{txt}{space 39} {c |}
{space 25}1.lirs_enforce {c |}{col 41}{res}{space 2} .0136213{col 53}{space 2} .0409756{col 64}{space 1}    0.33{col 73}{space 3}0.740{col 81}{space 4}-.0668426{col 94}{space 3} .0940852
{txt}{space 39} {c |}
{space 17}T_message#lirs_enforce {c |}
{space 25}Enforcement#1  {c |}{col 41}{res}{space 2} .0615714{col 53}{space 2}  .075337{col 64}{space 1}    0.82{col 73}{space 3}0.414{col 81}{space 4}-.0863679{col 94}{space 3} .2095107
{txt}{space 24}Public Goods#1  {c |}{col 41}{res}{space 2} .0143214{col 53}{space 2}  .069579{col 64}{space 1}    0.21{col 73}{space 3}0.837{col 81}{space 4} -.122311{col 94}{space 3} .1509538
{txt}{space 39} {c |}
{space 28}market_size {c |}
{space 20}6 to 34 interviews  {c |}{col 41}{res}{space 2} .0315794{col 53}{space 2} .0482202{col 64}{space 1}    0.65{col 73}{space 3}0.513{col 81}{space 4}-.0631106{col 94}{space 3} .1262694
{txt}{space 19}35 to 79 interviews  {c |}{col 41}{res}{space 2}-.0638499{col 53}{space 2} .0493766{col 64}{space 1}   -1.29{col 73}{space 3}0.196{col 81}{space 4}-.1608108{col 94}{space 3} .0331109
{txt}{space 23}> 79 interviews  {c |}{col 41}{res}{space 2}-.0583386{col 53}{space 2} .0456324{col 64}{space 1}   -1.28{col 73}{space 3}0.202{col 81}{space 4} -.147947{col 94}{space 3} .0312698
{txt}{space 39} {c |}
{space 29}rent_dummy {c |}
{space 24}N3751 to N7000  {c |}{col 41}{res}{space 2} .0480848{col 53}{space 2} .0360499{col 64}{space 1}    1.33{col 73}{space 3}0.183{col 81}{space 4}-.0227064{col 94}{space 3}  .118876
{txt}{space 23}N7001 to N15000  {c |}{col 41}{res}{space 2} .0477909{col 53}{space 2} .0392819{col 64}{space 1}    1.22{col 73}{space 3}0.224{col 81}{space 4}-.0293469{col 94}{space 3} .1249287
{txt}{space 30}> N15000  {c |}{col 41}{res}{space 2} .0313747{col 53}{space 2} .0373237{col 64}{space 1}    0.84{col 73}{space 3}0.401{col 81}{space 4}-.0419179{col 94}{space 3} .1046673
{txt}{space 39} {c |}
{space 33}yoruba {c |}
{space 32}Yoruba  {c |}{col 41}{res}{space 2} .0542205{col 53}{space 2} .0281122{col 64}{space 1}    1.93{col 73}{space 3}0.054{col 81}{space 4}-.0009834{col 94}{space 3} .1094244
{txt}{space 39} {c |}
{space 34}trust {c |}
{space 18}Trust state IRS more  {c |}{col 41}{res}{space 2}-.0076704{col 53}{space 2} .0429293{col 64}{space 1}   -0.18{col 73}{space 3}0.858{col 81}{space 4}-.0919706{col 94}{space 3} .0766298
{txt}{space 4}Trust marketplace association more  {c |}{col 41}{res}{space 2} -.003535{col 53}{space 2} .0327374{col 64}{space 1}   -0.11{col 73}{space 3}0.914{col 81}{space 4}-.0678216{col 94}{space 3} .0607515
{txt}No response recorded/Refused to answer  {c |}{col 41}{res}{space 2}-.0054635{col 53}{space 2} .0396269{col 64}{space 1}   -0.14{col 73}{space 3}0.890{col 81}{space 4}-.0832788{col 94}{space 3} .0723517
{txt}{space 39} {c |}
{space 25}friends_market {c |}
{space 6}Vendor has friends in the market  {c |}{col 41}{res}{space 2} .0335834{col 53}{space 2} .0269553{col 64}{space 1}    1.25{col 73}{space 3}0.213{col 81}{space 4}-.0193488{col 94}{space 3} .0865156
{txt}{space 39} {c |}
{space 35}club {c |}
{space 18}Yes, one association  {c |}{col 41}{res}{space 2} .0232689{col 53}{space 2}  .030526{col 64}{space 1}    0.76{col 73}{space 3}0.446{col 81}{space 4}-.0366751{col 94}{space 3} .0832128
{txt}{space 16}Yes, many associations  {c |}{col 41}{res}{space 2}-.0066913{col 53}{space 2} .0405062{col 64}{space 1}   -0.17{col 73}{space 3}0.869{col 81}{space 4}-.0862333{col 94}{space 3} .0728507
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} .0622274{col 53}{space 2} .0527098{col 64}{space 1}    1.18{col 73}{space 3}0.238{col 81}{space 4}-.0412789{col 94}{space 3} .1657337
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m6
{txt}
{com}. 
. reg etcc2 i.T_message##i.mpa_enforce $controls if T_messenger!=2, r

{txt}Linear regression                               Number of obs     = {res}       654
                                                {txt}F(19, 634)        =  {res}     1.41
                                                {txt}Prob > F          = {res}    0.1156
                                                {txt}R-squared         = {res}    0.0472
                                                {txt}Root MSE          =    {res} .32131

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2}-.0212512{col 57}{space 2} .0449653{col 68}{space 1}   -0.47{col 77}{space 3}0.637{col 85}{space 4}-.1095501{col 98}{space 3} .0670478
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2}-.0587909{col 57}{space 2} .0427731{col 68}{space 1}   -1.37{col 77}{space 3}0.170{col 85}{space 4}-.1427849{col 98}{space 3} .0252031
{txt}{space 43} {c |}
{space 30}1.mpa_enforce {c |}{col 45}{res}{space 2}-.0002807{col 57}{space 2} .0373948{col 68}{space 1}   -0.01{col 77}{space 3}0.994{col 85}{space 4}-.0737134{col 98}{space 3} .0731521
{txt}{space 43} {c |}
{space 22}T_message#mpa_enforce {c |}
{space 29}Enforcement#1  {c |}{col 45}{res}{space 2} .0289732{col 57}{space 2} .0619801{col 68}{space 1}    0.47{col 77}{space 3}0.640{col 85}{space 4} -.092738{col 98}{space 3} .1506844
{txt}{space 28}Public Goods#1  {c |}{col 45}{res}{space 2} .0903688{col 57}{space 2}  .061982{col 68}{space 1}    1.46{col 77}{space 3}0.145{col 85}{space 4}-.0313459{col 98}{space 3} .2120836
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0080405{col 57}{space 2} .0487093{col 68}{space 1}   -0.17{col 77}{space 3}0.869{col 85}{space 4}-.1036916{col 98}{space 3} .0876105
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0332461{col 57}{space 2} .0531109{col 68}{space 1}   -0.63{col 77}{space 3}0.532{col 85}{space 4}-.1375407{col 98}{space 3} .0710485
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0790335{col 57}{space 2} .0466281{col 68}{space 1}   -1.69{col 77}{space 3}0.091{col 85}{space 4}-.1705977{col 98}{space 3} .0125306
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0137321{col 57}{space 2} .0335044{col 68}{space 1}   -0.41{col 77}{space 3}0.682{col 85}{space 4}-.0795252{col 98}{space 3} .0520609
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0460631{col 57}{space 2} .0383459{col 68}{space 1}    1.20{col 77}{space 3}0.230{col 85}{space 4}-.0292372{col 98}{space 3} .1213635
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0212648{col 57}{space 2} .0363372{col 68}{space 1}    0.59{col 77}{space 3}0.559{col 85}{space 4}-.0500911{col 98}{space 3} .0926207
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0924682{col 57}{space 2} .0259797{col 68}{space 1}    3.56{col 77}{space 3}0.000{col 85}{space 4} .0414516{col 98}{space 3} .1434848
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0043247{col 57}{space 2} .0405237{col 68}{space 1}    0.11{col 77}{space 3}0.915{col 85}{space 4}-.0752522{col 98}{space 3} .0839016
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0641269{col 57}{space 2} .0321862{col 68}{space 1}    1.99{col 77}{space 3}0.047{col 85}{space 4} .0009224{col 98}{space 3} .1273314
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .0037508{col 57}{space 2} .0364574{col 68}{space 1}    0.10{col 77}{space 3}0.918{col 85}{space 4} -.067841{col 98}{space 3} .0753425
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0141944{col 57}{space 2} .0285027{col 68}{space 1}    0.50{col 77}{space 3}0.619{col 85}{space 4}-.0417766{col 98}{space 3} .0701655
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2}-.0006647{col 57}{space 2} .0250633{col 68}{space 1}   -0.03{col 77}{space 3}0.979{col 85}{space 4}-.0498819{col 98}{space 3} .0485524
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0150049{col 57}{space 2} .0283314{col 68}{space 1}    0.53{col 77}{space 3}0.597{col 85}{space 4}-.0406298{col 98}{space 3} .0706395
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0220855{col 57}{space 2} .0392825{col 68}{space 1}    0.56{col 77}{space 3}0.574{col 85}{space 4} -.055054{col 98}{space 3}  .099225
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0724371{col 57}{space 2} .0561892{col 68}{space 1}    1.29{col 77}{space 3}0.198{col 85}{space 4}-.0379024{col 98}{space 3} .1827766
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m7
{txt}
{com}. 
. reg etcc2 i.T_messenger##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(18, 972)        =  {res}     2.16
                                                {txt}Prob > F          = {res}    0.0033
                                                {txt}R-squared         = {res}    0.0371
                                                {txt}Root MSE          =    {res} .33339

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0065182{col 57}{space 2} .0293283{col 68}{space 1}   -0.22{col 77}{space 3}0.824{col 85}{space 4}-.0640723{col 98}{space 3}  .051036
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0642809{col 57}{space 2} .0340712{col 68}{space 1}    1.89{col 77}{space 3}0.060{col 85}{space 4}-.0025807{col 98}{space 3} .1311425
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0879015{col 57}{space 2} .0373768{col 68}{space 1}    2.35{col 77}{space 3}0.019{col 85}{space 4}  .014553{col 98}{space 3}   .16125
{txt}{space 43} {c |}
{space 25}T_messenger#yoruba {c |}
{space 21}Informal Agent#Yoruba  {c |}{col 45}{res}{space 2} .0061017{col 57}{space 2} .0507832{col 68}{space 1}    0.12{col 77}{space 3}0.904{col 85}{space 4}-.0935556{col 98}{space 3} .1057591
{txt}{space 24}State Agent#Yoruba  {c |}{col 45}{res}{space 2}-.0659508{col 57}{space 2} .0537009{col 68}{space 1}   -1.23{col 77}{space 3}0.220{col 85}{space 4}-.1713339{col 98}{space 3} .0394323
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0255639{col 57}{space 2} .0389625{col 68}{space 1}    0.66{col 77}{space 3}0.512{col 85}{space 4}-.0508963{col 98}{space 3} .1020242
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0452891{col 57}{space 2} .0406527{col 68}{space 1}   -1.11{col 77}{space 3}0.266{col 85}{space 4}-.1250663{col 98}{space 3}  .034488
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0684105{col 57}{space 2} .0367184{col 68}{space 1}   -1.86{col 77}{space 3}0.063{col 85}{space 4} -.140467{col 98}{space 3} .0036459
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0126052{col 57}{space 2} .0279926{col 68}{space 1}    0.45{col 77}{space 3}0.653{col 85}{space 4}-.0423277{col 98}{space 3}  .067538
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0548513{col 57}{space 2} .0317816{col 68}{space 1}    1.73{col 77}{space 3}0.085{col 85}{space 4}-.0075171{col 98}{space 3} .1172197
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0280736{col 57}{space 2} .0295273{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4} -.029871{col 98}{space 3} .0860183
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0007543{col 57}{space 2} .0347888{col 68}{space 1}    0.02{col 77}{space 3}0.983{col 85}{space 4}-.0675156{col 98}{space 3} .0690241
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0092635{col 57}{space 2} .0261095{col 68}{space 1}    0.35{col 77}{space 3}0.723{col 85}{space 4} -.041974{col 98}{space 3}  .060501
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0101277{col 57}{space 2} .0306978{col 68}{space 1}   -0.33{col 77}{space 3}0.742{col 85}{space 4}-.0703694{col 98}{space 3}  .050114
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0248075{col 57}{space 2}  .024124{col 68}{space 1}    1.03{col 77}{space 3}0.304{col 85}{space 4}-.0225337{col 98}{space 3} .0721487
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0170264{col 57}{space 2} .0214484{col 68}{space 1}    0.79{col 77}{space 3}0.427{col 85}{space 4}-.0250642{col 98}{space 3} .0591169
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0399592{col 57}{space 2} .0244084{col 68}{space 1}    1.64{col 77}{space 3}0.102{col 85}{space 4}  -.00794{col 98}{space 3} .0878584
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0386716{col 57}{space 2} .0345262{col 68}{space 1}    1.12{col 77}{space 3}0.263{col 85}{space 4}-.0290828{col 98}{space 3} .1064261
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0456542{col 57}{space 2} .0440872{col 68}{space 1}    1.04{col 77}{space 3}0.301{col 85}{space 4}-.0408628{col 98}{space 3} .1321712
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m3
{txt}
{com}. 
. reg etcc2 i.T_message##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(18, 972)        =  {res}     2.15
                                                {txt}Prob > F          = {res}    0.0036
                                                {txt}R-squared         = {res}    0.0384
                                                {txt}Root MSE          =    {res} .33319

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2} .0095943{col 57}{space 2}    .0302{col 68}{space 1}    0.32{col 77}{space 3}0.751{col 85}{space 4}-.0496703{col 98}{space 3} .0688589
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2} .0487215{col 57}{space 2} .0337049{col 68}{space 1}    1.45{col 77}{space 3}0.149{col 85}{space 4}-.0174212{col 98}{space 3} .1148643
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0881889{col 57}{space 2} .0373776{col 68}{space 1}    2.36{col 77}{space 3}0.019{col 85}{space 4} .0148388{col 98}{space 3}  .161539
{txt}{space 43} {c |}
{space 27}T_message#yoruba {c |}
{space 24}Enforcement#Yoruba  {c |}{col 45}{res}{space 2} .0269157{col 57}{space 2} .0529839{col 68}{space 1}    0.51{col 77}{space 3}0.612{col 85}{space 4}-.0770603{col 98}{space 3} .1308916
{txt}{space 23}Public Goods#Yoruba  {c |}{col 45}{res}{space 2}-.0852842{col 57}{space 2} .0520837{col 68}{space 1}   -1.64{col 77}{space 3}0.102{col 85}{space 4}-.1874936{col 98}{space 3} .0169252
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0212893{col 57}{space 2} .0387819{col 68}{space 1}    0.55{col 77}{space 3}0.583{col 85}{space 4}-.0548166{col 98}{space 3} .0973953
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0481688{col 57}{space 2} .0405591{col 68}{space 1}   -1.19{col 77}{space 3}0.235{col 85}{space 4}-.1277622{col 98}{space 3} .0314246
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0699155{col 57}{space 2} .0365901{col 68}{space 1}   -1.91{col 77}{space 3}0.056{col 85}{space 4}-.1417202{col 98}{space 3} .0018892
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0212756{col 57}{space 2} .0285432{col 68}{space 1}    0.75{col 77}{space 3}0.456{col 85}{space 4}-.0347377{col 98}{space 3} .0772889
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0577587{col 57}{space 2} .0319582{col 68}{space 1}    1.81{col 77}{space 3}0.071{col 85}{space 4}-.0049564{col 98}{space 3} .1204738
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0337085{col 57}{space 2} .0297966{col 68}{space 1}    1.13{col 77}{space 3}0.258{col 85}{space 4}-.0247645{col 98}{space 3} .0921816
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0030076{col 57}{space 2} .0348376{col 68}{space 1}    0.09{col 77}{space 3}0.931{col 85}{space 4}-.0653579{col 98}{space 3} .0713731
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0090441{col 57}{space 2} .0261547{col 68}{space 1}    0.35{col 77}{space 3}0.730{col 85}{space 4}-.0422821{col 98}{space 3} .0603703
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0072604{col 57}{space 2} .0308118{col 68}{space 1}   -0.24{col 77}{space 3}0.814{col 85}{space 4}-.0677256{col 98}{space 3} .0532048
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0247699{col 57}{space 2} .0241281{col 68}{space 1}    1.03{col 77}{space 3}0.305{col 85}{space 4}-.0225792{col 98}{space 3}  .072119
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0170635{col 57}{space 2} .0214532{col 68}{space 1}    0.80{col 77}{space 3}0.427{col 85}{space 4}-.0250364{col 98}{space 3} .0591633
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0435618{col 57}{space 2} .0243729{col 68}{space 1}    1.79{col 77}{space 3}0.074{col 85}{space 4}-.0042678{col 98}{space 3} .0913914
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0402308{col 57}{space 2} .0343631{col 68}{space 1}    1.17{col 77}{space 3}0.242{col 85}{space 4}-.0272035{col 98}{space 3} .1076652
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0417423{col 57}{space 2} .0439105{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4} -.044428{col 98}{space 3} .1279127
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m4
{txt}
{com}. 
. reg etcc2 T_messenger##c.mpaquality $controls , cluster(mname_b)

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(19, 153)        =  {res}     2.25
                                                {txt}Prob > F          = {res}    0.0036
                                                {txt}R-squared         = {res}    0.0358
                                                {txt}Root MSE          =    {res} .33379

{txt}{ralign 109:(Std. err. adjusted for {res:154} clusters in {res:mname_b})}
{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0367022{col 57}{space 2} .0602848{col 68}{space 1}   -0.61{col 77}{space 3}0.544{col 85}{space 4}-.1558003{col 98}{space 3} .0823959
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0625488{col 57}{space 2} .0598194{col 68}{space 1}    1.05{col 77}{space 3}0.297{col 85}{space 4}-.0556299{col 98}{space 3} .1807275
{txt}{space 43} {c |}
{space 33}mpaquality {c |}{col 45}{res}{space 2}-.0083871{col 57}{space 2} .0942673{col 68}{space 1}   -0.09{col 77}{space 3}0.929{col 85}{space 4}-.1946207{col 98}{space 3} .1778465
{txt}{space 43} {c |}
{space 19}T_messenger#c.mpaquality {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2} .0713021{col 57}{space 2} .1317306{col 68}{space 1}    0.54{col 77}{space 3}0.589{col 85}{space 4}-.1889436{col 98}{space 3} .3315477
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.0634408{col 57}{space 2} .1233427{col 68}{space 1}   -0.51{col 77}{space 3}0.608{col 85}{space 4}-.3071155{col 98}{space 3} .1802338
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0253162{col 57}{space 2} .0401887{col 68}{space 1}    0.63{col 77}{space 3}0.530{col 85}{space 4}-.0540802{col 98}{space 3} .1047126
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0460619{col 57}{space 2} .0419996{col 68}{space 1}   -1.10{col 77}{space 3}0.274{col 85}{space 4}-.1290358{col 98}{space 3} .0369121
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0670326{col 57}{space 2} .0386946{col 68}{space 1}   -1.73{col 77}{space 3}0.085{col 85}{space 4}-.1434773{col 98}{space 3}  .009412
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0111443{col 57}{space 2} .0281874{col 68}{space 1}    0.40{col 77}{space 3}0.693{col 85}{space 4}-.0445424{col 98}{space 3}  .066831
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0536275{col 57}{space 2} .0355249{col 68}{space 1}    1.51{col 77}{space 3}0.133{col 85}{space 4}-.0165552{col 98}{space 3} .1238102
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}  .029001{col 57}{space 2}  .030686{col 68}{space 1}    0.95{col 77}{space 3}0.346{col 85}{space 4}-.0316219{col 98}{space 3} .0896239
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2}  .068448{col 57}{space 2} .0216314{col 68}{space 1}    3.16{col 77}{space 3}0.002{col 85}{space 4} .0257133{col 98}{space 3} .1111827
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0026674{col 57}{space 2} .0367953{col 68}{space 1}    0.07{col 77}{space 3}0.942{col 85}{space 4} -.070025{col 98}{space 3} .0753598
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0087894{col 57}{space 2}  .025427{col 68}{space 1}    0.35{col 77}{space 3}0.730{col 85}{space 4} -.041444{col 98}{space 3} .0590228
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0116309{col 57}{space 2} .0333044{col 68}{space 1}   -0.35{col 77}{space 3}0.727{col 85}{space 4}-.0774267{col 98}{space 3} .0541649
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2}  .024563{col 57}{space 2} .0234297{col 68}{space 1}    1.05{col 77}{space 3}0.296{col 85}{space 4}-.0217245{col 98}{space 3} .0708504
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0181893{col 57}{space 2} .0220321{col 68}{space 1}    0.83{col 77}{space 3}0.410{col 85}{space 4}-.0253371{col 98}{space 3} .0617158
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0425168{col 57}{space 2} .0289899{col 68}{space 1}    1.47{col 77}{space 3}0.145{col 85}{space 4}-.0147555{col 98}{space 3}  .099789
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0363865{col 57}{space 2} .0365603{col 68}{space 1}    1.00{col 77}{space 3}0.321{col 85}{space 4}-.0358417{col 98}{space 3} .1086148
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0587371{col 57}{space 2} .0552994{col 68}{space 1}    1.06{col 77}{space 3}0.290{col 85}{space 4}-.0505119{col 98}{space 3} .1679861
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m5
{txt}
{com}. 
. esttab m0 m1 m2 m6 m7 m3 m4 /// 
>         using "diffeffects_new.tex", star(+ 0.1 * 0.05 ** 0.01 *** 0.001) se b(3) se(3) r2(2) label booktabs  replace ///
>         stats(N, labels("Observations") f(0))  ///
>         title("Effect of Tax Appeals on e-TCC Registration \label{c -(}tab:diffeffects{c )-}")  ///
>         varlabels (_cons Constant) ///
>         drop(*.market_size *.rent_dummy *.trust *.lirs_connect *.friends_market *.club ) ///
>         nonotes  nobaselevels  nogaps mtitles("\shortstack{c -(}Effect of\\Messenger Treatment{c )-}" "\shortstack{c -(}Relative Trust\\in Messenger{c )-}" "\shortstack{c -(}Message Credibility\\through Service Access{c )-}" "\shortstack{c -(}Message Credibility\\through LIRS Contact{c )-}" "\shortstack{c -(}Message Credibility\\through MPA Contact{c )-}" "\shortstack{c -(}Message Treatment\\by Ethnicity{c )-}" "\shortstack{c -(}Messenger Treatment\\by Ethnicity{c )-}") ///
>         addnote("OLS model with robust standard errors, blocking variables included as controls. $^+ p<0.10$, $^{c -(}*{c )-} p<0.05$, $^{c -(}**{c )-} p<0.01$, $^{c -(}***{c )-} p<0.001$") ///
>         sub("\begin{c -(}tabular{c )-}" "\begin{c -(}adjustbox{c )-}{c -(}width=0.8\textwidth, totalheight=0.5\textheight{c )-} \begin{c -(}tabular{c )-}" "\end{c -(}tabular{c )-}" "\end{c -(}tabular{c )-} \end{c -(}adjustbox{c )-}")     
{res}{txt}{p 0 4 2}
(file {bf}
diffeffects_new.tex{rm}
not found)
{p_end}
(output written to {browse  `"diffeffects_new.tex"'})

{com}. 
. // Table 2, no controls to check for contamination bias 
. 
. reg etcc2 i.T_messenger  , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(2, 988)         =  {res}     0.98
                                                {txt}Prob > F          = {res}    0.3740
                                                {txt}R-squared         = {res}    0.0021
                                                {txt}Root MSE          =    {res} .33665

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}          etcc2{col 17}{c |} Coefficient{col 29}  std. err.{col 41}      t{col 49}   P>|t|{col 57}     [95% con{col 70}f. interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}T_messenger {c |}
Informal Agent  {c |}{col 17}{res}{space 2}-.0065701{col 29}{space 2} .0254101{col 40}{space 1}   -0.26{col 49}{space 3}0.796{col 57}{space 4}-.0564341{col 70}{space 3}  .043294
{txt}{space 3}State Agent  {c |}{col 17}{res}{space 2} .0286938{col 29}{space 2} .0268637{col 40}{space 1}    1.07{col 49}{space 3}0.286{col 57}{space 4}-.0240226{col 70}{space 3} .0814102
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} .1226415{col 29}{space 2} .0184226{col 40}{space 1}    6.66{col 49}{space 3}0.000{col 57}{space 4} .0864895{col 70}{space 3} .1587935
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m0
{txt}
{com}. 
. reg etcc2 i.T_messenger##i.trust2 , robust

{txt}Linear regression                               Number of obs     = {res}       842
                                                {txt}F(5, 836)         =  {res}     2.33
                                                {txt}Prob > F          = {res}    0.0412
                                                {txt}R-squared         = {res}    0.0144
                                                {txt}Root MSE          =    {res} .33962

{txt}{hline 39}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 40}{c |}{col 52}    Robust
{col 1}                                 etcc2{col 40}{c |} Coefficient{col 52}  std. err.{col 64}      t{col 72}   P>|t|{col 80}     [95% con{col 93}f. interval]
{hline 39}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 27}T_messenger {c |}
{space 23}Informal Agent  {c |}{col 40}{res}{space 2}-.0499374{col 52}{space 2} .0555649{col 63}{space 1}   -0.90{col 72}{space 3}0.369{col 80}{space 4}-.1590006{col 93}{space 3} .0591258
{txt}{space 26}State Agent  {c |}{col 40}{res}{space 2}-.1077755{col 52}{space 2}  .051644{col 63}{space 1}   -2.09{col 72}{space 3}0.037{col 80}{space 4}-.2091426{col 93}{space 3}-.0064085
{txt}{space 38} {c |}
{space 32}trust2 {c |}
{space 15}Trust LIRS weakly more  {c |}{col 40}{res}{space 2}-.0914611{col 52}{space 2} .0477901{col 63}{space 1}   -1.91{col 72}{space 3}0.056{col 80}{space 4}-.1852638{col 93}{space 3} .0023416
{txt}{space 38} {c |}
{space 20}T_messenger#trust2 {c |}
Informal Agent#Trust LIRS weakly more  {c |}{col 40}{res}{space 2} .0671529{col 52}{space 2} .0639361{col 63}{space 1}    1.05{col 72}{space 3}0.294{col 80}{space 4}-.0583413{col 93}{space 3}  .192647
{txt}{space 3}State Agent#Trust LIRS weakly more  {c |}{col 40}{res}{space 2} .1988186{col 52}{space 2} .0626123{col 63}{space 1}    3.18{col 72}{space 3}0.002{col 80}{space 4} .0759229{col 93}{space 3} .3217143
{txt}{space 38} {c |}
{space 33}_cons {c |}{col 40}{res}{space 2} .1882353{col 52}{space 2} .0425509{col 63}{space 1}    4.42{col 72}{space 3}0.000{col 80}{space 4} .1047161{col 93}{space 3} .2717545
{txt}{hline 39}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m1
{txt}
{com}. 
. reg etcc2 i.T_message##i.service_access_d_b  , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(5, 985)         =  {res}     1.44
                                                {txt}Prob > F          = {res}    0.2088
                                                {txt}R-squared         = {res}    0.0090
                                                {txt}Root MSE          =    {res}   .336

{txt}{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                        etcc2{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_message {c |}
{space 33}Enforcement  {c |}{col 47}{res}{space 2}-.0317363{col 59}{space 2} .0318097{col 70}{space 1}   -1.00{col 79}{space 3}0.319{col 87}{space 4} -.094159{col 100}{space 3} .0306863
{txt}{space 32}Public Goods  {c |}{col 47}{res}{space 2}-.0067093{col 59}{space 2} .0332912{col 70}{space 1}   -0.20{col 79}{space 3}0.840{col 87}{space 4}-.0720391{col 100}{space 3} .0586205
{txt}{space 45} {c |}
{space 27}service_access_d_b {c |}
{space 13}Above-median access to services  {c |}{col 47}{res}{space 2}-.0422789{col 59}{space 2} .0366891{col 70}{space 1}   -1.15{col 79}{space 3}0.249{col 87}{space 4}-.1142767{col 100}{space 3}  .029719
{txt}{space 45} {c |}
{space 17}T_message#service_access_d_b {c |}
{space 1}Enforcement#Above-median access to services  {c |}{col 47}{res}{space 2} .1470933{col 59}{space 2} .0574919{col 70}{space 1}    2.56{col 79}{space 3}0.011{col 87}{space 4} .0342726{col 100}{space 3} .2599141
{txt}Public Goods#Above-median access to services  {c |}{col 47}{res}{space 2} .0307153{col 59}{space 2} .0526394{col 70}{space 1}    0.58{col 79}{space 3}0.560{col 87}{space 4}-.0725831{col 100}{space 3} .1340136
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2}  .137931{col 59}{space 2} .0242758{col 70}{space 1}    5.68{col 79}{space 3}0.000{col 87}{space 4} .0902929{col 100}{space 3} .1855692
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m2
{txt}
{com}. 
. reg etcc2 i.T_message##i.lirs_enforce , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(5, 985)         =  {res}     0.88
                                                {txt}Prob > F          = {res}    0.4938
                                                {txt}R-squared         = {res}    0.0057
                                                {txt}Root MSE          =    {res} .33655

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                 etcc2{col 24}{c |} Coefficient{col 36}  std. err.{col 48}      t{col 56}   P>|t|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}T_message {c |}
{space 10}Enforcement  {c |}{col 24}{res}{space 2}-.0057637{col 36}{space 2} .0305722{col 47}{space 1}   -0.19{col 56}{space 3}0.851{col 64}{space 4}-.0657579{col 77}{space 3} .0542304
{txt}{space 9}Public Goods  {c |}{col 24}{res}{space 2} .0142081{col 36}{space 2} .0315205{col 47}{space 1}    0.45{col 56}{space 3}0.652{col 64}{space 4} -.047647{col 77}{space 3} .0760631
{txt}{space 22} {c |}
{space 8}1.lirs_enforce {c |}{col 24}{res}{space 2} .0159624{col 36}{space 2} .0399569{col 47}{space 1}    0.40{col 56}{space 3}0.690{col 64}{space 4}-.0624481{col 77}{space 3} .0943729
{txt}{space 22} {c |}
T_message#lirs_enforce {c |}
{space 8}Enforcement#1  {c |}{col 24}{res}{space 2} .0706286{col 36}{space 2} .0590109{col 47}{space 1}    1.20{col 56}{space 3}0.232{col 64}{space 4}-.0451729{col 77}{space 3} .1864301
{txt}{space 7}Public Goods#1  {c |}{col 24}{res}{space 2}-.0293596{col 36}{space 2} .0552626{col 47}{space 1}   -0.53{col 56}{space 3}0.595{col 64}{space 4}-.1378055{col 77}{space 3} .0790864
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2} .1173709{col 36}{space 2} .0221207{col 47}{space 1}    5.31{col 56}{space 3}0.000{col 64}{space 4} .0739618{col 77}{space 3} .1607799
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m6
{txt}
{com}. 
. reg etcc2 i.T_message##i.mpa_enforce  if T_messenger!=2, r

{txt}Linear regression                               Number of obs     = {res}       654
                                                {txt}F(5, 648)         =  {res}     0.79
                                                {txt}Prob > F          = {res}    0.5541
                                                {txt}R-squared         = {res}    0.0050
                                                {txt}Root MSE          =    {res} .32478

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}                etcc2{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}T_message {c |}
{space 9}Enforcement  {c |}{col 23}{res}{space 2}-.0092915{col 35}{space 2} .0451959{col 46}{space 1}   -0.21{col 55}{space 3}0.837{col 63}{space 4}-.0980395{col 76}{space 3} .0794565
{txt}{space 8}Public Goods  {c |}{col 23}{res}{space 2}-.0505545{col 35}{space 2} .0414987{col 46}{space 1}   -1.22{col 55}{space 3}0.224{col 63}{space 4}-.1320426{col 76}{space 3} .0309337
{txt}{space 21} {c |}
{space 8}1.mpa_enforce {c |}{col 23}{res}{space 2} .0059524{col 35}{space 2} .0376163{col 46}{space 1}    0.16{col 55}{space 3}0.874{col 63}{space 4}-.0679122{col 76}{space 3} .0798169
{txt}{space 21} {c |}
T_message#mpa_enforce {c |}
{space 7}Enforcement#1  {c |}{col 23}{res}{space 2} .0005706{col 35}{space 2} .0618347{col 46}{space 1}    0.01{col 55}{space 3}0.993{col 63}{space 4}  -.12085{col 76}{space 3} .1219911
{txt}{space 6}Public Goods#1  {c |}{col 23}{res}{space 2} .0834492{col 35}{space 2}  .060907{col 46}{space 1}    1.37{col 55}{space 3}0.171{col 63}{space 4}-.0361496{col 76}{space 3}  .203048
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} .1190476{col 35}{space 2} .0289836{col 46}{space 1}    4.11{col 55}{space 3}0.000{col 63}{space 4} .0621345{col 76}{space 3} .1759608
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m7
{txt}
{com}. 
. reg etcc2 i.T_messenger##i.yoruba , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(5, 985)         =  {res}     3.61
                                                {txt}Prob > F          = {res}    0.0031
                                                {txt}R-squared         = {res}    0.0149
                                                {txt}Root MSE          =    {res} .33499

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                 etcc2{col 24}{c |} Coefficient{col 36}  std. err.{col 48}      t{col 56}   P>|t|{col 64}     [95% con{col 77}f. interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}T_messenger {c |}
{space 7}Informal Agent  {c |}{col 24}{res}{space 2}-.0049434{col 36}{space 2} .0289756{col 47}{space 1}   -0.17{col 56}{space 3}0.865{col 64}{space 4}-.0618045{col 77}{space 3} .0519176
{txt}{space 10}State Agent  {c |}{col 24}{res}{space 2} .0619817{col 36}{space 2} .0336812{col 47}{space 1}    1.84{col 56}{space 3}0.066{col 64}{space 4}-.0041134{col 77}{space 3} .1280767
{txt}{space 22} {c |}
{space 16}yoruba {c |}
{space 15}Yoruba  {c |}{col 24}{res}{space 2} .0928006{col 36}{space 2} .0364546{col 47}{space 1}    2.55{col 56}{space 3}0.011{col 64}{space 4}  .021263{col 77}{space 3} .1643383
{txt}{space 22} {c |}
{space 4}T_messenger#yoruba {c |}
Informal Agent#Yoruba  {c |}{col 24}{res}{space 2}-.0021299{col 36}{space 2} .0503804{col 47}{space 1}   -0.04{col 56}{space 3}0.966{col 64}{space 4}-.1009951{col 77}{space 3} .0967353
{txt}{space 3}State Agent#Yoruba  {c |}{col 24}{res}{space 2}-.0650875{col 36}{space 2}  .053568{col 47}{space 1}   -1.22{col 56}{space 3}0.225{col 64}{space 4}-.1702079{col 77}{space 3} .0400329
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2} .0759494{col 36}{space 2} .0211398{col 47}{space 1}    3.59{col 56}{space 3}0.000{col 64}{space 4} .0344652{col 77}{space 3} .1174335
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m3
{txt}
{com}. 
. reg etcc2 i.T_message##i.yoruba , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(5, 985)         =  {res}     3.19
                                                {txt}Prob > F          = {res}    0.0074
                                                {txt}R-squared         = {res}    0.0161
                                                {txt}Root MSE          =    {res} .33479

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}               etcc2{col 22}{c |} Coefficient{col 34}  std. err.{col 46}      t{col 54}   P>|t|{col 62}     [95% con{col 75}f. interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}T_message {c |}
{space 8}Enforcement  {c |}{col 22}{res}{space 2} .0102575{col 34}{space 2} .0300396{col 45}{space 1}    0.34{col 54}{space 3}0.733{col 62}{space 4}-.0486915{col 75}{space 3} .0692065
{txt}{space 7}Public Goods  {c |}{col 22}{res}{space 2}  .048311{col 34}{space 2} .0330865{col 45}{space 1}    1.46{col 54}{space 3}0.145{col 62}{space 4}-.0166171{col 75}{space 3} .1132391
{txt}{space 20} {c |}
{space 14}yoruba {c |}
{space 13}Yoruba  {c |}{col 22}{res}{space 2} .0928006{col 34}{space 2} .0364546{col 45}{space 1}    2.55{col 54}{space 3}0.011{col 62}{space 4}  .021263{col 75}{space 3} .1643383
{txt}{space 20} {c |}
{space 4}T_message#yoruba {c |}
{space 1}Enforcement#Yoruba  {c |}{col 22}{res}{space 2} .0197502{col 34}{space 2} .0527219{col 45}{space 1}    0.37{col 54}{space 3}0.708{col 62}{space 4}  -.08371{col 75}{space 3} .1232105
{txt}Public Goods#Yoruba  {c |}{col 22}{res}{space 2}-.0868835{col 34}{space 2} .0514864{col 45}{space 1}   -1.69{col 54}{space 3}0.092{col 62}{space 4}-.1879192{col 75}{space 3} .0141523
{txt}{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} .0759494{col 34}{space 2} .0211398{col 45}{space 1}    3.59{col 54}{space 3}0.000{col 62}{space 4} .0344652{col 75}{space 3} .1174335
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m4
{txt}
{com}. 
. reg etcc2 T_messenger##c.mpaquality , cluster(mname_b)

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(5, 153)         =  {res}     0.60
                                                {txt}Prob > F          = {res}    0.6975
                                                {txt}R-squared         = {res}    0.0031
                                                {txt}Root MSE          =    {res} .33699

{txt}{ralign 90:(Std. err. adjusted for {res:154} clusters in {res:mname_b})}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}                   etcc2{col 26}{c |} Coefficient{col 38}  std. err.{col 50}      t{col 58}   P>|t|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}T_messenger {c |}
{space 9}Informal Agent  {c |}{col 26}{res}{space 2}-.0298513{col 38}{space 2} .0611398{col 49}{space 1}   -0.49{col 58}{space 3}0.626{col 66}{space 4}-.1506385{col 79}{space 3} .0909359
{txt}{space 12}State Agent  {c |}{col 26}{res}{space 2} .0561695{col 38}{space 2} .0606301{col 49}{space 1}    0.93{col 58}{space 3}0.356{col 66}{space 4}-.0636107{col 79}{space 3} .1759498
{txt}{space 24} {c |}
{space 14}mpaquality {c |}{col 26}{res}{space 2} .0345192{col 38}{space 2} .0907109{col 49}{space 1}    0.38{col 58}{space 3}0.704{col 66}{space 4}-.1446884{col 79}{space 3} .2137269
{txt}{space 24} {c |}
T_messenger#c.mpaquality {c |}
{space 9}Informal Agent  {c |}{col 26}{res}{space 2} .0513993{col 38}{space 2} .1325538{col 49}{space 1}    0.39{col 58}{space 3}0.699{col 66}{space 4}-.2104726{col 79}{space 3} .3132713
{txt}{space 12}State Agent  {c |}{col 26}{res}{space 2}-.0574368{col 38}{space 2} .1259225{col 49}{space 1}   -0.46{col 58}{space 3}0.649{col 66}{space 4} -.306208{col 79}{space 3} .1913344
{txt}{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} .1061598{col 38}{space 2} .0451735{col 49}{space 1}    2.35{col 58}{space 3}0.020{col 66}{space 4} .0169155{col 79}{space 3} .1954041
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m5
{txt}
{com}. 
. esttab m0 m1 m2 m6 m7 m3 m4 /// 
>         using "diffeffects_nocontrols.tex", star(+ 0.1 * 0.05 ** 0.01 *** 0.001) se b(3) se(3) r2(2) label booktabs  replace ///
>         stats(N, labels("Observations") f(0))  ///
>         title("Replicating Table \ref{c -(}tab:diffeffects{c )-} without Controls \label{c -(}tab:diffeffectsnocontrols{c )-}")  ///
>         varlabels (_cons Constant) ///
>         nonotes  nobaselevels  nogaps mtitles("\shortstack{c -(}Effect of\\Messenger Treatment{c )-}" "\shortstack{c -(}Relative Trust\\in Messenger{c )-}" "\shortstack{c -(}Message Credibility\\through Service Access{c )-}" "\shortstack{c -(}Message Credibility\\through LIRS Contact{c )-}" "\shortstack{c -(}Message Credibility\\through MPA Contact{c )-}" "\shortstack{c -(}Message Treatment\\by Ethnicity{c )-}" "\shortstack{c -(}Messenger Treatment\\by Ethnicity{c )-}") ///
>         addnote("OLS model with robust standard errors, blocking variables included as controls. $^+ p<0.10$, $^{c -(}*{c )-} p<0.05$, $^{c -(}**{c )-} p<0.01$, $^{c -(}***{c )-} p<0.001$") ///
>         sub("\begin{c -(}tabular{c )-}" "\begin{c -(}adjustbox{c )-}{c -(}width=0.8\textwidth, totalheight=0.5\textheight{c )-} \begin{c -(}tabular{c )-}" "\end{c -(}tabular{c )-}" "\end{c -(}tabular{c )-} \end{c -(}adjustbox{c )-}")     
{res}{txt}{p 0 4 2}
(file {bf}
diffeffects_nocontrols.tex{rm}
not found)
{p_end}
(output written to {browse  `"diffeffects_nocontrols.tex"'})

{com}. 
. // Table 3, with outcome that includes payment of tax or etcc2
. 
. gen compliance=compliance3
{txt}(317 missing values generated)

{com}. *replace compliance=0 if q45_year_pay_income<2018
. tab etcc2 compliance

{txt}Registered {c |}      compliance
 for e-TCC {c |}         0          1 {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
         0 {c |}{res}       783        243 {txt}{c |}{res}     1,026 
{txt}         1 {c |}{res}        81         72 {txt}{c |}{res}       153 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       864        315 {txt}{c |}{res}     1,179 
{txt}
{com}. replace compliance=1 if etcc2==1
{txt}(81 real changes made)

{com}. 
. reg compliance i.T_messenger $controls , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(16, 974)        =  {res}     2.97
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0401
                                                {txt}Root MSE          =    {res} .46715

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                 compliance{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0044225{col 57}{space 2} .0369418{col 68}{space 1}   -0.12{col 77}{space 3}0.905{col 85}{space 4}-.0769171{col 98}{space 3} .0680722
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} -.015693{col 57}{space 2} .0367794{col 68}{space 1}   -0.43{col 77}{space 3}0.670{col 85}{space 4} -.087869{col 98}{space 3} .0564831
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0704191{col 57}{space 2} .0483395{col 68}{space 1}    1.46{col 77}{space 3}0.146{col 85}{space 4}-.0244424{col 98}{space 3} .1652807
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2} .0013496{col 57}{space 2} .0528953{col 68}{space 1}    0.03{col 77}{space 3}0.980{col 85}{space 4}-.1024523{col 98}{space 3} .1051516
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2} .0129237{col 57}{space 2} .0480064{col 68}{space 1}    0.27{col 77}{space 3}0.788{col 85}{space 4}-.0812842{col 98}{space 3} .1071315
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}  .077897{col 57}{space 2} .0395182{col 68}{space 1}    1.97{col 77}{space 3}0.049{col 85}{space 4} .0003464{col 98}{space 3} .1554475
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0711102{col 57}{space 2} .0425751{col 68}{space 1}    1.67{col 77}{space 3}0.095{col 85}{space 4}-.0124393{col 98}{space 3} .1546596
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0957115{col 57}{space 2} .0420984{col 68}{space 1}    2.27{col 77}{space 3}0.023{col 85}{space 4} .0130975{col 98}{space 3} .1783256
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0918937{col 57}{space 2} .0309285{col 68}{space 1}    2.97{col 77}{space 3}0.003{col 85}{space 4} .0311994{col 98}{space 3} .1525879
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0896083{col 57}{space 2} .0494843{col 68}{space 1}    1.81{col 77}{space 3}0.070{col 85}{space 4}-.0074999{col 98}{space 3} .1867164
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0870373{col 57}{space 2} .0373299{col 68}{space 1}    2.33{col 77}{space 3}0.020{col 85}{space 4} .0137809{col 98}{space 3} .1602937
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0583957{col 57}{space 2} .0413578{col 68}{space 1}   -1.41{col 77}{space 3}0.158{col 85}{space 4}-.1395563{col 98}{space 3} .0227649
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0331266{col 57}{space 2} .0336025{col 68}{space 1}    0.99{col 77}{space 3}0.324{col 85}{space 4} -.032815{col 98}{space 3} .0990682
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0245989{col 57}{space 2} .0305938{col 68}{space 1}    0.80{col 77}{space 3}0.422{col 85}{space 4}-.0354385{col 98}{space 3} .0846363
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0139938{col 57}{space 2} .0331893{col 68}{space 1}    0.42{col 77}{space 3}0.673{col 85}{space 4}-.0511371{col 98}{space 3} .0791246
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2}  .124681{col 57}{space 2} .0491977{col 68}{space 1}    2.53{col 77}{space 3}0.011{col 85}{space 4} .0281353{col 98}{space 3} .2212267
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2}  .143164{col 57}{space 2} .0590491{col 68}{space 1}    2.42{col 77}{space 3}0.016{col 85}{space 4}  .027286{col 98}{space 3}  .259042
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m0
{txt}
{com}. 
. reg compliance i.T_messenger##i.trust2 i.market_size i.rent_dummy i.yoruba i.lirs_connect i.friends_market i.club, robust

{txt}Linear regression                               Number of obs     = {res}       842
                                                {txt}F(16, 825)        =  {res}     1.44
                                                {txt}Prob > F          = {res}    0.1163
                                                {txt}R-squared         = {res}    0.0267
                                                {txt}Root MSE          =    {res} .47695

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                 compliance{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0363441{col 57}{space 2} .0740689{col 68}{space 1}   -0.49{col 77}{space 3}0.624{col 85}{space 4}-.1817297{col 98}{space 3} .1090415
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.1100405{col 57}{space 2} .0732144{col 68}{space 1}   -1.50{col 77}{space 3}0.133{col 85}{space 4}-.2537489{col 98}{space 3} .0336678
{txt}{space 43} {c |}
{space 37}trust2 {c |}
{space 20}Trust LIRS weakly more  {c |}{col 45}{res}{space 2}-.1408338{col 57}{space 2} .0639891{col 68}{space 1}   -2.20{col 77}{space 3}0.028{col 85}{space 4}-.2664344{col 98}{space 3}-.0152332
{txt}{space 43} {c |}
{space 25}T_messenger#trust2 {c |}
{space 5}Informal Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .0622096{col 57}{space 2} .0887125{col 68}{space 1}    0.70{col 77}{space 3}0.483{col 85}{space 4}-.1119191{col 98}{space 3} .2363382
{txt}{space 8}State Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .1565858{col 57}{space 2} .0876779{col 68}{space 1}    1.79{col 77}{space 3}0.074{col 85}{space 4}-.0155122{col 98}{space 3} .3286838
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0909817{col 57}{space 2}  .053119{col 68}{space 1}    1.71{col 77}{space 3}0.087{col 85}{space 4}-.0132826{col 98}{space 3}  .195246
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2} .0286762{col 57}{space 2} .0586746{col 68}{space 1}    0.49{col 77}{space 3}0.625{col 85}{space 4}-.0864928{col 98}{space 3} .1438453
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}  .017854{col 57}{space 2} .0525544{col 68}{space 1}    0.34{col 77}{space 3}0.734{col 85}{space 4} -.085302{col 98}{space 3}   .12101
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0718046{col 57}{space 2} .0445138{col 68}{space 1}    1.61{col 77}{space 3}0.107{col 85}{space 4}-.0155691{col 98}{space 3} .1591783
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0675926{col 57}{space 2} .0466366{col 68}{space 1}    1.45{col 77}{space 3}0.148{col 85}{space 4}-.0239477{col 98}{space 3} .1591328
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0845062{col 57}{space 2} .0480292{col 68}{space 1}    1.76{col 77}{space 3}0.079{col 85}{space 4}-.0097677{col 98}{space 3}   .17878
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0804368{col 57}{space 2} .0343482{col 68}{space 1}    2.34{col 77}{space 3}0.019{col 85}{space 4} .0130167{col 98}{space 3} .1478569
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0328157{col 57}{space 2} .0352515{col 68}{space 1}    0.93{col 77}{space 3}0.352{col 85}{space 4}-.0363775{col 98}{space 3}  .102009
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0332989{col 57}{space 2} .0342239{col 68}{space 1}    0.97{col 77}{space 3}0.331{col 85}{space 4}-.0338772{col 98}{space 3} .1004751
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0049044{col 57}{space 2} .0365331{col 68}{space 1}    0.13{col 77}{space 3}0.893{col 85}{space 4}-.0668044{col 98}{space 3} .0766132
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0800135{col 57}{space 2} .0547036{col 68}{space 1}    1.46{col 77}{space 3}0.144{col 85}{space 4}-.0273611{col 98}{space 3}  .187388
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .2754672{col 57}{space 2} .0779446{col 68}{space 1}    3.53{col 77}{space 3}0.000{col 85}{space 4}  .122474{col 98}{space 3} .4284603
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m1
{txt}
{com}. 
. reg compliance i.T_message##i.service_access_d_b $controls , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(19, 971)        =  {res}     2.93
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0498
                                                {txt}Root MSE          =    {res}  .4655

{txt}{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                   compliance{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_message {c |}
{space 33}Enforcement  {c |}{col 47}{res}{space 2}-.0392355{col 59}{space 2} .0458146{col 70}{space 1}   -0.86{col 79}{space 3}0.392{col 87}{space 4}-.1291425{col 100}{space 3} .0506715
{txt}{space 32}Public Goods  {c |}{col 47}{res}{space 2}-.0465317{col 59}{space 2}  .046047{col 70}{space 1}   -1.01{col 79}{space 3}0.312{col 87}{space 4}-.1368947{col 100}{space 3} .0438313
{txt}{space 45} {c |}
{space 27}service_access_d_b {c |}
{space 13}Above-median access to services  {c |}{col 47}{res}{space 2}-.0928545{col 59}{space 2} .0554331{col 70}{space 1}   -1.68{col 79}{space 3}0.094{col 87}{space 4}-.2016369{col 100}{space 3}  .015928
{txt}{space 45} {c |}
{space 17}T_message#service_access_d_b {c |}
{space 1}Enforcement#Above-median access to services  {c |}{col 47}{res}{space 2} .1732019{col 59}{space 2} .0782995{col 70}{space 1}    2.21{col 79}{space 3}0.027{col 87}{space 4} .0195461{col 100}{space 3} .3268576
{txt}Public Goods#Above-median access to services  {c |}{col 47}{res}{space 2} .0123764{col 59}{space 2} .0762465{col 70}{space 1}    0.16{col 79}{space 3}0.871{col 87}{space 4}-.1372504{col 100}{space 3} .1620032
{txt}{space 45} {c |}
{space 34}market_size {c |}
{space 26}6 to 34 interviews  {c |}{col 47}{res}{space 2} .0701959{col 59}{space 2} .0486679{col 70}{space 1}    1.44{col 79}{space 3}0.150{col 87}{space 4}-.0253104{col 100}{space 3} .1657023
{txt}{space 25}35 to 79 interviews  {c |}{col 47}{res}{space 2} .0082334{col 59}{space 2} .0533628{col 70}{space 1}    0.15{col 79}{space 3}0.877{col 87}{space 4}-.0964864{col 100}{space 3} .1129531
{txt}{space 29}> 79 interviews  {c |}{col 47}{res}{space 2} .0157046{col 59}{space 2}  .048388{col 70}{space 1}    0.32{col 79}{space 3}0.746{col 87}{space 4}-.0792525{col 100}{space 3} .1106617
{txt}{space 45} {c |}
{space 35}rent_dummy {c |}
{space 30}N3751 to N7000  {c |}{col 47}{res}{space 2}  .075882{col 59}{space 2} .0393302{col 70}{space 1}    1.93{col 79}{space 3}0.054{col 87}{space 4}-.0012999{col 100}{space 3} .1530639
{txt}{space 29}N7001 to N15000  {c |}{col 47}{res}{space 2} .0713605{col 59}{space 2} .0426537{col 70}{space 1}    1.67{col 79}{space 3}0.095{col 87}{space 4}-.0123436{col 100}{space 3} .1550645
{txt}{space 36}> N15000  {c |}{col 47}{res}{space 2} .1043433{col 59}{space 2} .0424106{col 70}{space 1}    2.46{col 79}{space 3}0.014{col 87}{space 4} .0211164{col 100}{space 3} .1875703
{txt}{space 45} {c |}
{space 39}yoruba {c |}
{space 38}Yoruba  {c |}{col 47}{res}{space 2} .0970043{col 59}{space 2}  .031077{col 70}{space 1}    3.12{col 79}{space 3}0.002{col 87}{space 4} .0360185{col 100}{space 3} .1579901
{txt}{space 45} {c |}
{space 40}trust {c |}
{space 24}Trust state IRS more  {c |}{col 47}{res}{space 2} .0988053{col 59}{space 2}  .049441{col 70}{space 1}    2.00{col 79}{space 3}0.046{col 87}{space 4} .0017817{col 100}{space 3} .1958289
{txt}{space 10}Trust marketplace association more  {c |}{col 47}{res}{space 2} .0931646{col 59}{space 2} .0371789{col 70}{space 1}    2.51{col 79}{space 3}0.012{col 87}{space 4} .0202045{col 100}{space 3} .1661248
{txt}{space 6}No response recorded/Refused to answer  {c |}{col 47}{res}{space 2}-.0588363{col 59}{space 2} .0415873{col 70}{space 1}   -1.41{col 79}{space 3}0.157{col 87}{space 4}-.1404477{col 100}{space 3} .0227751
{txt}{space 45} {c |}
{space 33}lirs_connect {c |}
{space 2}Vendor has prior connection with state IRS  {c |}{col 47}{res}{space 2} .0403046{col 59}{space 2} .0336543{col 70}{space 1}    1.20{col 79}{space 3}0.231{col 87}{space 4} -.025739{col 100}{space 3} .1063482
{txt}{space 45} {c |}
{space 31}friends_market {c |}
{space 12}Vendor has friends in the market  {c |}{col 47}{res}{space 2} .0239588{col 59}{space 2} .0304996{col 70}{space 1}    0.79{col 79}{space 3}0.432{col 87}{space 4}-.0358938{col 100}{space 3} .0838115
{txt}{space 45} {c |}
{space 41}club {c |}
{space 24}Yes, one association  {c |}{col 47}{res}{space 2} .0160546{col 59}{space 2} .0330844{col 70}{space 1}    0.49{col 79}{space 3}0.628{col 87}{space 4}-.0488707{col 100}{space 3} .0809799
{txt}{space 22}Yes, many associations  {c |}{col 47}{res}{space 2} .1273917{col 59}{space 2} .0491744{col 70}{space 1}    2.59{col 79}{space 3}0.010{col 87}{space 4} .0308914{col 100}{space 3}  .223892
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2} .1648976{col 59}{space 2} .0622159{col 70}{space 1}    2.65{col 79}{space 3}0.008{col 87}{space 4} .0428045{col 100}{space 3} .2869907
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m2
{txt}
{com}. 
. reg compliance i.T_message##i.lirs_enforce i.market_size i.rent_dummy i.yoruba i.trust i.friends_market i.club if T_messenger!=1, r

{txt}Linear regression                               Number of obs     = {res}       655
                                                {txt}F(18, 636)        =  {res}     2.52
                                                {txt}Prob > F          = {res}    0.0005
                                                {txt}R-squared         = {res}    0.0564
                                                {txt}Root MSE          =    {res} .46559

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                             compliance{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      t{col 73}   P>|t|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 30}T_message {c |}
{space 27}Enforcement  {c |}{col 41}{res}{space 2}-.0460321{col 53}{space 2} .0525909{col 64}{space 1}   -0.88{col 73}{space 3}0.382{col 81}{space 4} -.149305{col 94}{space 3} .0572407
{txt}{space 26}Public Goods  {c |}{col 41}{res}{space 2}-.0422822{col 53}{space 2} .0532989{col 64}{space 1}   -0.79{col 73}{space 3}0.428{col 81}{space 4}-.1469453{col 94}{space 3}  .062381
{txt}{space 39} {c |}
{space 25}1.lirs_enforce {c |}{col 41}{res}{space 2} .0242861{col 53}{space 2} .0587197{col 64}{space 1}    0.41{col 73}{space 3}0.679{col 81}{space 4}-.0910218{col 94}{space 3}  .139594
{txt}{space 39} {c |}
{space 17}T_message#lirs_enforce {c |}
{space 25}Enforcement#1  {c |}{col 41}{res}{space 2} .1732583{col 53}{space 2} .0967612{col 64}{space 1}    1.79{col 73}{space 3}0.074{col 81}{space 4}-.0167518{col 94}{space 3} .3632685
{txt}{space 24}Public Goods#1  {c |}{col 41}{res}{space 2} .0039985{col 53}{space 2} .0953287{col 64}{space 1}    0.04{col 73}{space 3}0.967{col 81}{space 4}-.1831986{col 94}{space 3} .1911955
{txt}{space 39} {c |}
{space 28}market_size {c |}
{space 20}6 to 34 interviews  {c |}{col 41}{res}{space 2} .0731774{col 53}{space 2} .0598932{col 64}{space 1}    1.22{col 73}{space 3}0.222{col 81}{space 4} -.044435{col 94}{space 3} .1907898
{txt}{space 19}35 to 79 interviews  {c |}{col 41}{res}{space 2}-.0710071{col 53}{space 2} .0646722{col 64}{space 1}   -1.10{col 73}{space 3}0.273{col 81}{space 4}-.1980039{col 94}{space 3} .0559897
{txt}{space 23}> 79 interviews  {c |}{col 41}{res}{space 2} .0065195{col 53}{space 2} .0588934{col 64}{space 1}    0.11{col 73}{space 3}0.912{col 81}{space 4}-.1091295{col 94}{space 3} .1221684
{txt}{space 39} {c |}
{space 29}rent_dummy {c |}
{space 24}N3751 to N7000  {c |}{col 41}{res}{space 2} .1400322{col 53}{space 2} .0482101{col 64}{space 1}    2.90{col 73}{space 3}0.004{col 81}{space 4} .0453619{col 94}{space 3} .2347024
{txt}{space 23}N7001 to N15000  {c |}{col 41}{res}{space 2} .0558371{col 53}{space 2} .0522351{col 64}{space 1}    1.07{col 73}{space 3}0.285{col 81}{space 4}-.0467371{col 94}{space 3} .1584113
{txt}{space 30}> N15000  {c |}{col 41}{res}{space 2} .0974651{col 53}{space 2} .0518112{col 64}{space 1}    1.88{col 73}{space 3}0.060{col 81}{space 4}-.0042766{col 94}{space 3} .1992069
{txt}{space 39} {c |}
{space 33}yoruba {c |}
{space 32}Yoruba  {c |}{col 41}{res}{space 2} .0838379{col 53}{space 2} .0383934{col 64}{space 1}    2.18{col 73}{space 3}0.029{col 81}{space 4} .0084449{col 94}{space 3}  .159231
{txt}{space 39} {c |}
{space 34}trust {c |}
{space 18}Trust state IRS more  {c |}{col 41}{res}{space 2} .0389069{col 53}{space 2} .0602149{col 64}{space 1}    0.65{col 73}{space 3}0.518{col 81}{space 4}-.0793372{col 94}{space 3} .1571509
{txt}{space 4}Trust marketplace association more  {c |}{col 41}{res}{space 2} .0783046{col 53}{space 2} .0457965{col 64}{space 1}    1.71{col 73}{space 3}0.088{col 81}{space 4} -.011626{col 94}{space 3} .1682351
{txt}No response recorded/Refused to answer  {c |}{col 41}{res}{space 2}-.0532545{col 53}{space 2} .0511202{col 64}{space 1}   -1.04{col 73}{space 3}0.298{col 81}{space 4}-.1536393{col 94}{space 3} .0471303
{txt}{space 39} {c |}
{space 25}friends_market {c |}
{space 6}Vendor has friends in the market  {c |}{col 41}{res}{space 2} .0005093{col 53}{space 2} .0375704{col 64}{space 1}    0.01{col 73}{space 3}0.989{col 81}{space 4}-.0732678{col 94}{space 3} .0742864
{txt}{space 39} {c |}
{space 35}club {c |}
{space 18}Yes, one association  {c |}{col 41}{res}{space 2} .0045987{col 53}{space 2} .0406974{col 64}{space 1}    0.11{col 73}{space 3}0.910{col 81}{space 4}-.0753188{col 94}{space 3} .0845163
{txt}{space 16}Yes, many associations  {c |}{col 41}{res}{space 2} .1029338{col 53}{space 2} .0594953{col 64}{space 1}    1.73{col 73}{space 3}0.084{col 81}{space 4}-.0138972{col 94}{space 3} .2197648
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} .1722683{col 53}{space 2} .0715347{col 64}{space 1}    2.41{col 73}{space 3}0.016{col 81}{space 4} .0317956{col 94}{space 3}  .312741
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m6
{txt}
{com}. 
. reg compliance i.T_message##i.mpa_enforce $controls if T_messenger!=2, r

{txt}Linear regression                               Number of obs     = {res}       654
                                                {txt}F(19, 634)        =  {res}     2.15
                                                {txt}Prob > F          = {res}    0.0032
                                                {txt}R-squared         = {res}    0.0523
                                                {txt}Root MSE          =    {res} .46919

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                 compliance{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2} -.031389{col 57}{space 2} .0704075{col 68}{space 1}   -0.45{col 77}{space 3}0.656{col 85}{space 4} -.169649{col 98}{space 3} .1068711
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2}-.1994503{col 57}{space 2} .0670464{col 68}{space 1}   -2.97{col 77}{space 3}0.003{col 85}{space 4}-.3311101{col 98}{space 3}-.0677905
{txt}{space 43} {c |}
{space 30}1.mpa_enforce {c |}{col 45}{res}{space 2}-.1253346{col 57}{space 2} .0567102{col 68}{space 1}   -2.21{col 77}{space 3}0.027{col 85}{space 4}-.2366972{col 98}{space 3} -.013972
{txt}{space 43} {c |}
{space 22}T_message#mpa_enforce {c |}
{space 29}Enforcement#1  {c |}{col 45}{res}{space 2} .0846142{col 57}{space 2} .0929229{col 68}{space 1}    0.91{col 77}{space 3}0.363{col 85}{space 4}-.0978598{col 98}{space 3} .2670881
{txt}{space 28}Public Goods#1  {c |}{col 45}{res}{space 2} .2715065{col 57}{space 2} .0910421{col 68}{space 1}    2.98{col 77}{space 3}0.003{col 85}{space 4} .0927259{col 98}{space 3}  .450287
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0457245{col 57}{space 2} .0613117{col 68}{space 1}    0.75{col 77}{space 3}0.456{col 85}{space 4}-.0746741{col 98}{space 3}  .166123
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2} .0497239{col 57}{space 2} .0689745{col 68}{space 1}    0.72{col 77}{space 3}0.471{col 85}{space 4}-.0857222{col 98}{space 3}   .18517
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2} .0061117{col 57}{space 2} .0611872{col 68}{space 1}    0.10{col 77}{space 3}0.920{col 85}{space 4}-.1140425{col 98}{space 3} .1262658
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0411432{col 57}{space 2} .0497165{col 68}{space 1}    0.83{col 77}{space 3}0.408{col 85}{space 4}-.0564857{col 98}{space 3} .1387721
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0665376{col 57}{space 2} .0525354{col 68}{space 1}    1.27{col 77}{space 3}0.206{col 85}{space 4}-.0366269{col 98}{space 3} .1697021
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0912117{col 57}{space 2} .0522858{col 68}{space 1}    1.74{col 77}{space 3}0.082{col 85}{space 4}-.0114626{col 98}{space 3} .1938861
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0928598{col 57}{space 2} .0381752{col 68}{space 1}    2.43{col 77}{space 3}0.015{col 85}{space 4} .0178946{col 98}{space 3}  .167825
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0844497{col 57}{space 2} .0613503{col 68}{space 1}    1.38{col 77}{space 3}0.169{col 85}{space 4}-.0360248{col 98}{space 3} .2049242
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .1279783{col 57}{space 2} .0463177{col 68}{space 1}    2.76{col 77}{space 3}0.006{col 85}{space 4} .0370237{col 98}{space 3} .2189328
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0315499{col 57}{space 2} .0531976{col 68}{space 1}   -0.59{col 77}{space 3}0.553{col 85}{space 4}-.1360147{col 98}{space 3}  .072915
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2}-.0004413{col 57}{space 2} .0412752{col 68}{space 1}   -0.01{col 77}{space 3}0.991{col 85}{space 4} -.081494{col 98}{space 3} .0806113
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0288375{col 57}{space 2} .0379225{col 68}{space 1}    0.76{col 77}{space 3}0.447{col 85}{space 4}-.0456315{col 98}{space 3} .1033065
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0128835{col 57}{space 2} .0411761{col 68}{space 1}    0.31{col 77}{space 3}0.754{col 85}{space 4}-.0679745{col 98}{space 3} .0937416
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2}  .086215{col 57}{space 2} .0604086{col 68}{space 1}    1.43{col 77}{space 3}0.154{col 85}{space 4}-.0324101{col 98}{space 3} .2048401
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .2350965{col 57}{space 2} .0794198{col 68}{space 1}    2.96{col 77}{space 3}0.003{col 85}{space 4} .0791389{col 98}{space 3} .3910541
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m7
{txt}
{com}. 
. reg compliance i.T_messenger##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(18, 972)        =  {res}     2.67
                                                {txt}Prob > F          = {res}    0.0002
                                                {txt}R-squared         = {res}    0.0402
                                                {txt}Root MSE          =    {res} .46761

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                 compliance{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0159255{col 57}{space 2} .0504947{col 68}{space 1}   -0.32{col 77}{space 3}0.753{col 85}{space 4}-.1150166{col 98}{space 3} .0831657
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.0226591{col 57}{space 2} .0503872{col 68}{space 1}   -0.45{col 77}{space 3}0.653{col 85}{space 4}-.1215393{col 98}{space 3} .0762212
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0794177{col 57}{space 2} .0542274{col 68}{space 1}    1.46{col 77}{space 3}0.143{col 85}{space 4}-.0269986{col 98}{space 3}  .185834
{txt}{space 43} {c |}
{space 25}T_messenger#yoruba {c |}
{space 21}Informal Agent#Yoruba  {c |}{col 45}{res}{space 2} .0229583{col 57}{space 2} .0739262{col 68}{space 1}    0.31{col 77}{space 3}0.756{col 85}{space 4} -.122115{col 98}{space 3} .1680315
{txt}{space 24}State Agent#Yoruba  {c |}{col 45}{res}{space 2} .0138611{col 57}{space 2} .0734802{col 68}{space 1}    0.19{col 77}{space 3}0.850{col 85}{space 4} -.130337{col 98}{space 3} .1580593
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0699197{col 57}{space 2} .0484043{col 68}{space 1}    1.44{col 77}{space 3}0.149{col 85}{space 4}-.0250692{col 98}{space 3} .1649087
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}  .000811{col 57}{space 2} .0529346{col 68}{space 1}    0.02{col 77}{space 3}0.988{col 85}{space 4}-.1030684{col 98}{space 3} .1046903
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2} .0123842{col 57}{space 2}  .048119{col 68}{space 1}    0.26{col 77}{space 3}0.797{col 85}{space 4} -.082045{col 98}{space 3} .1068133
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0780424{col 57}{space 2} .0395341{col 68}{space 1}    1.97{col 77}{space 3}0.049{col 85}{space 4} .0004605{col 98}{space 3} .1556244
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0714829{col 57}{space 2} .0425878{col 68}{space 1}    1.68{col 77}{space 3}0.094{col 85}{space 4}-.0120918{col 98}{space 3} .1550576
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0959099{col 57}{space 2}  .042104{col 68}{space 1}    2.28{col 77}{space 3}0.023{col 85}{space 4} .0132848{col 98}{space 3}  .178535
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0902987{col 57}{space 2} .0495682{col 68}{space 1}    1.82{col 77}{space 3}0.069{col 85}{space 4}-.0069744{col 98}{space 3} .1875718
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0874676{col 57}{space 2}  .037392{col 68}{space 1}    2.34{col 77}{space 3}0.020{col 85}{space 4} .0140891{col 98}{space 3}  .160846
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0584546{col 57}{space 2} .0413613{col 68}{space 1}   -1.41{col 77}{space 3}0.158{col 85}{space 4}-.1396224{col 98}{space 3} .0227133
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0329091{col 57}{space 2} .0336363{col 68}{space 1}    0.98{col 77}{space 3}0.328{col 85}{space 4} -.033099{col 98}{space 3} .0989172
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0247717{col 57}{space 2} .0306274{col 68}{space 1}    0.81{col 77}{space 3}0.419{col 85}{space 4}-.0353317{col 98}{space 3} .0848751
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0141967{col 57}{space 2} .0332464{col 68}{space 1}    0.43{col 77}{space 3}0.669{col 85}{space 4}-.0510463{col 98}{space 3} .0794396
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .1248059{col 57}{space 2} .0492461{col 68}{space 1}    2.53{col 77}{space 3}0.011{col 85}{space 4} .0281649{col 98}{space 3} .2214469
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .1494587{col 57}{space 2} .0628449{col 68}{space 1}    2.38{col 77}{space 3}0.018{col 85}{space 4} .0261313{col 98}{space 3}  .272786
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m3
{txt}
{com}. 
. reg compliance i.T_message##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(18, 972)        =  {res}     3.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0474
                                                {txt}Root MSE          =    {res} .46584

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                 compliance{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2} -.027143{col 57}{space 2} .0497496{col 68}{space 1}   -0.55{col 77}{space 3}0.585{col 85}{space 4} -.124772{col 98}{space 3} .0704861
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2}-.0126338{col 57}{space 2} .0512938{col 68}{space 1}   -0.25{col 77}{space 3}0.806{col 85}{space 4}-.1132931{col 98}{space 3} .0880255
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0802545{col 57}{space 2} .0542562{col 68}{space 1}    1.48{col 77}{space 3}0.139{col 85}{space 4}-.0262183{col 98}{space 3} .1867272
{txt}{space 43} {c |}
{space 27}T_message#yoruba {c |}
{space 24}Enforcement#Yoruba  {c |}{col 45}{res}{space 2} .0988295{col 57}{space 2} .0741224{col 68}{space 1}    1.33{col 77}{space 3}0.183{col 85}{space 4}-.0466288{col 98}{space 3} .2442878
{txt}{space 23}Public Goods#Yoruba  {c |}{col 45}{res}{space 2}-.0567935{col 57}{space 2} .0733543{col 68}{space 1}   -0.77{col 77}{space 3}0.439{col 85}{space 4}-.2007446{col 98}{space 3} .0871575
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0666382{col 57}{space 2} .0483642{col 68}{space 1}    1.38{col 77}{space 3}0.169{col 85}{space 4} -.028272{col 98}{space 3} .1615484
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0011422{col 57}{space 2} .0528529{col 68}{space 1}   -0.02{col 77}{space 3}0.983{col 85}{space 4}-.1048612{col 98}{space 3} .1025768
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2} .0104497{col 57}{space 2} .0482087{col 68}{space 1}    0.22{col 77}{space 3}0.828{col 85}{space 4}-.0841553{col 98}{space 3} .1050547
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0883063{col 57}{space 2} .0396285{col 68}{space 1}    2.23{col 77}{space 3}0.026{col 85}{space 4}  .010539{col 98}{space 3} .1660736
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}  .076959{col 57}{space 2}  .042931{col 68}{space 1}    1.79{col 77}{space 3}0.073{col 85}{space 4}-.0072891{col 98}{space 3} .1612071
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .1058721{col 57}{space 2} .0422091{col 68}{space 1}    2.51{col 77}{space 3}0.012{col 85}{space 4} .0230407{col 98}{space 3} .1887035
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0942769{col 57}{space 2} .0492954{col 68}{space 1}    1.91{col 77}{space 3}0.056{col 85}{space 4}-.0024608{col 98}{space 3} .1910147
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0881964{col 57}{space 2} .0374169{col 68}{space 1}    2.36{col 77}{space 3}0.019{col 85}{space 4} .0147691{col 98}{space 3} .1616236
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0571921{col 57}{space 2} .0412077{col 68}{space 1}   -1.39{col 77}{space 3}0.165{col 85}{space 4}-.1380584{col 98}{space 3} .0236742
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0307537{col 57}{space 2} .0334571{col 68}{space 1}    0.92{col 77}{space 3}0.358{col 85}{space 4}-.0349027{col 98}{space 3} .0964101
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0263718{col 57}{space 2} .0305703{col 68}{space 1}    0.86{col 77}{space 3}0.389{col 85}{space 4}-.0336196{col 98}{space 3} .0863633
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0170931{col 57}{space 2} .0329559{col 68}{space 1}    0.52{col 77}{space 3}0.604{col 85}{space 4}-.0475799{col 98}{space 3}  .081766
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .1296584{col 57}{space 2} .0495997{col 68}{space 1}    2.61{col 77}{space 3}0.009{col 85}{space 4} .0323236{col 98}{space 3} .2269931
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .1425592{col 57}{space 2} .0626313{col 68}{space 1}    2.28{col 77}{space 3}0.023{col 85}{space 4} .0196511{col 98}{space 3} .2654673
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m4
{txt}
{com}. 
. reg compliance T_messenger##c.mpaquality $controls , cluster(mname_b)

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(19, 153)        =  {res}     3.48
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0425
                                                {txt}Root MSE          =    {res} .46728

{txt}{ralign 109:(Std. err. adjusted for {res:154} clusters in {res:mname_b})}
{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                 compliance{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0987201{col 57}{space 2} .0957997{col 68}{space 1}   -1.03{col 77}{space 3}0.304{col 85}{space 4} -.287981{col 98}{space 3} .0905408
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.0312718{col 57}{space 2} .1030869{col 68}{space 1}   -0.30{col 77}{space 3}0.762{col 85}{space 4}-.2349292{col 98}{space 3} .1723856
{txt}{space 43} {c |}
{space 33}mpaquality {c |}{col 45}{res}{space 2}-.1736966{col 57}{space 2} .1535847{col 68}{space 1}   -1.13{col 77}{space 3}0.260{col 85}{space 4}-.4771171{col 98}{space 3} .1297239
{txt}{space 43} {c |}
{space 19}T_messenger#c.mpaquality {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2} .1987661{col 57}{space 2} .2001009{col 68}{space 1}    0.99{col 77}{space 3}0.322{col 85}{space 4}-.1965512{col 98}{space 3} .5940835
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0345244{col 57}{space 2} .2109396{col 68}{space 1}    0.16{col 77}{space 3}0.870{col 85}{space 4}-.3822058{col 98}{space 3} .4512545
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0738313{col 57}{space 2} .0544804{col 68}{space 1}    1.36{col 77}{space 3}0.177{col 85}{space 4}-.0337996{col 98}{space 3} .1814622
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2} .0002528{col 57}{space 2} .0564597{col 68}{space 1}    0.00{col 77}{space 3}0.996{col 85}{space 4}-.1112885{col 98}{space 3} .1117941
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2} .0134594{col 57}{space 2} .0454143{col 68}{space 1}    0.30{col 77}{space 3}0.767{col 85}{space 4}-.0762606{col 98}{space 3} .1031794
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0740169{col 57}{space 2} .0405316{col 68}{space 1}    1.83{col 77}{space 3}0.070{col 85}{space 4} -.006057{col 98}{space 3} .1540907
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}  .070457{col 57}{space 2} .0471983{col 68}{space 1}    1.49{col 77}{space 3}0.138{col 85}{space 4}-.0227875{col 98}{space 3} .1637015
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0975336{col 57}{space 2} .0462388{col 68}{space 1}    2.11{col 77}{space 3}0.037{col 85}{space 4} .0061846{col 98}{space 3} .1888826
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0913727{col 57}{space 2} .0315861{col 68}{space 1}    2.89{col 77}{space 3}0.004{col 85}{space 4} .0289714{col 98}{space 3}  .153774
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0916891{col 57}{space 2} .0501276{col 68}{space 1}    1.83{col 77}{space 3}0.069{col 85}{space 4}-.0073424{col 98}{space 3} .1907206
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0918601{col 57}{space 2} .0360066{col 68}{space 1}    2.55{col 77}{space 3}0.012{col 85}{space 4} .0207258{col 98}{space 3} .1629945
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0631612{col 57}{space 2}  .038461{col 68}{space 1}   -1.64{col 77}{space 3}0.103{col 85}{space 4}-.1391445{col 98}{space 3} .0128221
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0327759{col 57}{space 2} .0351751{col 68}{space 1}    0.93{col 77}{space 3}0.353{col 85}{space 4}-.0367158{col 98}{space 3} .1022675
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0271708{col 57}{space 2} .0312555{col 68}{space 1}    0.87{col 77}{space 3}0.386{col 85}{space 4}-.0345772{col 98}{space 3} .0889189
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0256222{col 57}{space 2} .0368717{col 68}{space 1}    0.69{col 77}{space 3}0.488{col 85}{space 4}-.0472212{col 98}{space 3} .0984655
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .1335718{col 57}{space 2} .0495532{col 68}{space 1}    2.70{col 77}{space 3}0.008{col 85}{space 4}  .035675{col 98}{space 3} .2314685
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .2191341{col 57}{space 2} .1012123{col 68}{space 1}    2.17{col 77}{space 3}0.032{col 85}{space 4}   .01918{col 98}{space 3} .4190882
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m5
{txt}
{com}. 
. esttab m0 m1 m2 m6 m7 m3 m4 /// 
>         using "diffeffects_compliance.tex", star(+ 0.1 * 0.05 ** 0.01 *** 0.001) se b(3) se(3) r2(2) label booktabs  replace ///
>         stats(N, labels("Observations") f(0))  ///
>         title("Effect of Tax Appeals on e-TCC Registration or Tax Payment \label{c -(}tab:diffeffectscompliance{c )-}")  ///
>         varlabels (_cons Constant) ///
>         drop(*.market_size *.rent_dummy *.trust *.lirs_connect *.friends_market *.club ) ///
>         nonotes  nobaselevels  nogaps mtitles("\shortstack{c -(}Effect of\\Messenger Treatment{c )-}" "\shortstack{c -(}Relative Trust\\in Messenger{c )-}" "\shortstack{c -(}Message Credibility\\through Service Access{c )-}" "\shortstack{c -(}Message Credibility\\through LIRS Contact{c )-}" "\shortstack{c -(}Message Credibility\\through MPA Contact{c )-}" "\shortstack{c -(}Message Treatment\\by Ethnicity{c )-}" "\shortstack{c -(}Messenger Treatment\\by Ethnicity{c )-}") ///
>         addnote("OLS model with robust standard errors, blocking variables included as controls. $^+ p<0.10$, $^{c -(}*{c )-} p<0.05$, $^{c -(}**{c )-} p<0.01$, $^{c -(}***{c )-} p<0.001$") ///
>         sub("\begin{c -(}tabular{c )-}" "\begin{c -(}adjustbox{c )-}{c -(}width=0.8\textwidth, totalheight=0.5\textheight{c )-} \begin{c -(}tabular{c )-}" "\end{c -(}tabular{c )-}" "\end{c -(}tabular{c )-} \end{c -(}adjustbox{c )-}")     
{res}{txt}{p 0 4 2}
(file {bf}
diffeffects_compliance.tex{rm}
not found)
{p_end}
(output written to {browse  `"diffeffects_compliance.tex"'})

{com}. 
. // Table 4, with outcome of tax morale
. 
. reg tax_morale2_e i.T_messenger $controls , r

{txt}Linear regression                               Number of obs     = {res}       925
                                                {txt}F(16, 908)        =  {res}     1.21
                                                {txt}Prob > F          = {res}    0.2500
                                                {txt}R-squared         = {res}    0.0211
                                                {txt}Root MSE          =    {res} 1.1077

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                              tax_morale2_e{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0545803{col 57}{space 2} .0898338{col 68}{space 1}   -0.61{col 77}{space 3}0.544{col 85}{space 4}-.2308863{col 98}{space 3} .1217258
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.0439797{col 57}{space 2} .0899046{col 68}{space 1}   -0.49{col 77}{space 3}0.625{col 85}{space 4}-.2204246{col 98}{space 3} .1324652
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0060739{col 57}{space 2} .1191879{col 68}{space 1}   -0.05{col 77}{space 3}0.959{col 85}{space 4}-.2399898{col 98}{space 3} .2278419
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}   .09159{col 57}{space 2} .1347479{col 68}{space 1}    0.68{col 77}{space 3}0.497{col 85}{space 4}-.1728635{col 98}{space 3} .3560434
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0469013{col 57}{space 2} .1176329{col 68}{space 1}   -0.40{col 77}{space 3}0.690{col 85}{space 4}-.2777654{col 98}{space 3} .1839627
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0142231{col 57}{space 2} .0988905{col 68}{space 1}   -0.14{col 77}{space 3}0.886{col 85}{space 4}-.2083038{col 98}{space 3} .1798575
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}-.0447787{col 57}{space 2} .1074255{col 68}{space 1}   -0.42{col 77}{space 3}0.677{col 85}{space 4}-.2556098{col 98}{space 3} .1660524
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}-.0570195{col 57}{space 2}  .108178{col 68}{space 1}   -0.53{col 77}{space 3}0.598{col 85}{space 4}-.2693275{col 98}{space 3} .1552884
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .2637419{col 57}{space 2} .0754978{col 68}{space 1}    3.49{col 77}{space 3}0.000{col 85}{space 4} .1155714{col 98}{space 3} .4119124
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0462883{col 57}{space 2}  .114706{col 68}{space 1}    0.40{col 77}{space 3}0.687{col 85}{space 4}-.1788313{col 98}{space 3}  .271408
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0138252{col 57}{space 2} .0899083{col 68}{space 1}    0.15{col 77}{space 3}0.878{col 85}{space 4}-.1626271{col 98}{space 3} .1902774
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .0781242{col 57}{space 2} .1099072{col 68}{space 1}    0.71{col 77}{space 3}0.477{col 85}{space 4}-.1375774{col 98}{space 3} .2938259
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0718111{col 57}{space 2} .0805934{col 68}{space 1}    0.89{col 77}{space 3}0.373{col 85}{space 4}-.0863599{col 98}{space 3} .2299821
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2}  .092277{col 57}{space 2}  .074897{col 68}{space 1}    1.23{col 77}{space 3}0.218{col 85}{space 4}-.0547143{col 98}{space 3} .2392683
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2}-.0466641{col 57}{space 2} .0828407{col 68}{space 1}   -0.56{col 77}{space 3}0.573{col 85}{space 4}-.2092457{col 98}{space 3} .1159175
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2}-.0303239{col 57}{space 2}   .11834{col 68}{space 1}   -0.26{col 77}{space 3}0.798{col 85}{space 4}-.2625756{col 98}{space 3} .2019279
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} 2.477252{col 57}{space 2} .1501132{col 68}{space 1}   16.50{col 77}{space 3}0.000{col 85}{space 4} 2.182643{col 98}{space 3} 2.771861
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m0
{txt}
{com}. 
. reg tax_morale2_e i.T_messenger##i.trust2 i.market_size i.rent_dummy i.yoruba i.lirs_connect i.friends_market i.club, robust

{txt}Linear regression                               Number of obs     = {res}       787
                                                {txt}F(16, 770)        =  {res}     0.99
                                                {txt}Prob > F          = {res}    0.4613
                                                {txt}R-squared         = {res}    0.0208
                                                {txt}Root MSE          =    {res}  1.112

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                              tax_morale2_e{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2} .1098578{col 57}{space 2} .1671916{col 68}{space 1}    0.66{col 77}{space 3}0.511{col 85}{space 4}-.2183477{col 98}{space 3} .4380632
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.0110942{col 57}{space 2} .1777837{col 68}{space 1}   -0.06{col 77}{space 3}0.950{col 85}{space 4}-.3600924{col 98}{space 3} .3379041
{txt}{space 43} {c |}
{space 37}trust2 {c |}
{space 20}Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .0680493{col 57}{space 2} .1537135{col 68}{space 1}    0.44{col 77}{space 3}0.658{col 85}{space 4}-.2336979{col 98}{space 3} .3697964
{txt}{space 43} {c |}
{space 25}T_messenger#trust2 {c |}
{space 5}Informal Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2}-.1737949{col 57}{space 2} .2055498{col 68}{space 1}   -0.85{col 77}{space 3}0.398{col 85}{space 4}-.5772994{col 98}{space 3} .2297096
{txt}{space 8}State Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2}-.0271962{col 57}{space 2} .2131934{col 68}{space 1}   -0.13{col 77}{space 3}0.899{col 85}{space 4}-.4457054{col 98}{space 3}  .391313
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0830352{col 57}{space 2} .1297092{col 68}{space 1}   -0.64{col 77}{space 3}0.522{col 85}{space 4}-.3376608{col 98}{space 3} .1715904
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2} .0185082{col 57}{space 2} .1468928{col 68}{space 1}    0.13{col 77}{space 3}0.900{col 85}{space 4}-.2698496{col 98}{space 3}  .306866
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.1301336{col 57}{space 2} .1278717{col 68}{space 1}   -1.02{col 77}{space 3}0.309{col 85}{space 4}-.3811522{col 98}{space 3} .1208849
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0373436{col 57}{space 2} .1092489{col 68}{space 1}   -0.34{col 77}{space 3}0.733{col 85}{space 4}-.2518046{col 98}{space 3} .1771175
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}-.0596994{col 57}{space 2} .1160296{col 68}{space 1}   -0.51{col 77}{space 3}0.607{col 85}{space 4}-.2874712{col 98}{space 3} .1680725
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}-.0689239{col 57}{space 2}  .119141{col 68}{space 1}   -0.58{col 77}{space 3}0.563{col 85}{space 4}-.3028035{col 98}{space 3} .1649557
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .2367118{col 57}{space 2} .0825786{col 68}{space 1}    2.87{col 77}{space 3}0.004{col 85}{space 4} .0746058{col 98}{space 3} .3988177
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0872361{col 57}{space 2} .0845397{col 68}{space 1}    1.03{col 77}{space 3}0.302{col 85}{space 4}-.0787195{col 98}{space 3} .2531918
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0800352{col 57}{space 2} .0820968{col 68}{space 1}    0.97{col 77}{space 3}0.330{col 85}{space 4}-.0811249{col 98}{space 3} .2411954
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2}-.0105356{col 57}{space 2}  .090818{col 68}{space 1}   -0.12{col 77}{space 3}0.908{col 85}{space 4}-.1888159{col 98}{space 3} .1677447
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2}-.0815871{col 57}{space 2} .1274149{col 68}{space 1}   -0.64{col 77}{space 3}0.522{col 85}{space 4}-.3317089{col 98}{space 3} .1685347
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} 2.510336{col 57}{space 2} .1873737{col 68}{space 1}   13.40{col 77}{space 3}0.000{col 85}{space 4} 2.142512{col 98}{space 3}  2.87816
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m1
{txt}
{com}. 
. reg tax_morale2_e i.T_message##i.service_access_d_b $controls , r

{txt}Linear regression                               Number of obs     = {res}       925
                                                {txt}F(19, 905)        =  {res}     1.45
                                                {txt}Prob > F          = {res}    0.0943
                                                {txt}R-squared         = {res}    0.0302
                                                {txt}Root MSE          =    {res} 1.1044

{txt}{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                tax_morale2_e{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_message {c |}
{space 33}Enforcement  {c |}{col 47}{res}{space 2}-.2245648{col 59}{space 2} .1083224{col 70}{space 1}   -2.07{col 79}{space 3}0.038{col 87}{space 4}-.4371571{col 100}{space 3}-.0119725
{txt}{space 32}Public Goods  {c |}{col 47}{res}{space 2} .0762417{col 59}{space 2} .1120639{col 70}{space 1}    0.68{col 79}{space 3}0.496{col 87}{space 4}-.1436937{col 100}{space 3} .2961771
{txt}{space 45} {c |}
{space 27}service_access_d_b {c |}
{space 13}Above-median access to services  {c |}{col 47}{res}{space 2}-.1204684{col 59}{space 2} .1373996{col 70}{space 1}   -0.88{col 79}{space 3}0.381{col 87}{space 4}-.3901274{col 100}{space 3} .1491905
{txt}{space 45} {c |}
{space 17}T_message#service_access_d_b {c |}
{space 1}Enforcement#Above-median access to services  {c |}{col 47}{res}{space 2} .2372654{col 59}{space 2}  .191609{col 70}{space 1}    1.24{col 79}{space 3}0.216{col 87}{space 4}-.1387843{col 100}{space 3} .6133152
{txt}Public Goods#Above-median access to services  {c |}{col 47}{res}{space 2}-.0905633{col 59}{space 2} .1887048{col 70}{space 1}   -0.48{col 79}{space 3}0.631{col 87}{space 4}-.4609132{col 100}{space 3} .2797866
{txt}{space 45} {c |}
{space 34}market_size {c |}
{space 26}6 to 34 interviews  {c |}{col 47}{res}{space 2}-.0028493{col 59}{space 2} .1191426{col 70}{space 1}   -0.02{col 79}{space 3}0.981{col 87}{space 4}-.2366772{col 100}{space 3} .2309786
{txt}{space 25}35 to 79 interviews  {c |}{col 47}{res}{space 2} .1050884{col 59}{space 2} .1339002{col 70}{space 1}    0.78{col 79}{space 3}0.433{col 87}{space 4}-.1577027{col 100}{space 3} .3678795
{txt}{space 29}> 79 interviews  {c |}{col 47}{res}{space 2}-.0404745{col 59}{space 2} .1178203{col 70}{space 1}   -0.34{col 79}{space 3}0.731{col 87}{space 4}-.2717072{col 100}{space 3} .1907583
{txt}{space 45} {c |}
{space 35}rent_dummy {c |}
{space 30}N3751 to N7000  {c |}{col 47}{res}{space 2}-.0296783{col 59}{space 2} .0982957{col 70}{space 1}   -0.30{col 79}{space 3}0.763{col 87}{space 4}-.2225923{col 100}{space 3} .1632357
{txt}{space 29}N7001 to N15000  {c |}{col 47}{res}{space 2}-.0383991{col 59}{space 2}   .10727{col 70}{space 1}   -0.36{col 79}{space 3}0.720{col 87}{space 4}-.2489259{col 100}{space 3} .1721278
{txt}{space 36}> N15000  {c |}{col 47}{res}{space 2}-.0542723{col 59}{space 2} .1080201{col 70}{space 1}   -0.50{col 79}{space 3}0.615{col 87}{space 4}-.2662714{col 100}{space 3} .1577268
{txt}{space 45} {c |}
{space 39}yoruba {c |}
{space 38}Yoruba  {c |}{col 47}{res}{space 2} .2656256{col 59}{space 2} .0753707{col 70}{space 1}    3.52{col 79}{space 3}0.000{col 87}{space 4} .1177039{col 100}{space 3} .4135474
{txt}{space 45} {c |}
{space 40}trust {c |}
{space 24}Trust state IRS more  {c |}{col 47}{res}{space 2} .0551718{col 59}{space 2} .1150898{col 70}{space 1}    0.48{col 79}{space 3}0.632{col 87}{space 4}-.1707021{col 100}{space 3} .2810458
{txt}{space 10}Trust marketplace association more  {c |}{col 47}{res}{space 2} .0208523{col 59}{space 2} .0895029{col 70}{space 1}    0.23{col 79}{space 3}0.816{col 87}{space 4}-.1548051{col 100}{space 3} .1965098
{txt}{space 6}No response recorded/Refused to answer  {c |}{col 47}{res}{space 2} .0792528{col 59}{space 2} .1095057{col 70}{space 1}    0.72{col 79}{space 3}0.469{col 87}{space 4}-.1356617{col 100}{space 3} .2941674
{txt}{space 45} {c |}
{space 33}lirs_connect {c |}
{space 2}Vendor has prior connection with state IRS  {c |}{col 47}{res}{space 2} .0877767{col 59}{space 2} .0808973{col 70}{space 1}    1.09{col 79}{space 3}0.278{col 87}{space 4}-.0709915{col 100}{space 3} .2465448
{txt}{space 45} {c |}
{space 31}friends_market {c |}
{space 12}Vendor has friends in the market  {c |}{col 47}{res}{space 2} .0924852{col 59}{space 2} .0747355{col 70}{space 1}    1.24{col 79}{space 3}0.216{col 87}{space 4}-.0541899{col 100}{space 3} .2391602
{txt}{space 45} {c |}
{space 41}club {c |}
{space 24}Yes, one association  {c |}{col 47}{res}{space 2}-.0441739{col 59}{space 2} .0824747{col 70}{space 1}   -0.54{col 79}{space 3}0.592{col 87}{space 4}-.2060378{col 100}{space 3}   .11769
{txt}{space 22}Yes, many associations  {c |}{col 47}{res}{space 2}-.0356076{col 59}{space 2} .1166283{col 70}{space 1}   -0.31{col 79}{space 3}0.760{col 87}{space 4}-.2645011{col 100}{space 3} .1932858
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2} 2.508806{col 59}{space 2} .1580662{col 70}{space 1}   15.87{col 79}{space 3}0.000{col 87}{space 4} 2.198587{col 100}{space 3} 2.819025
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m2
{txt}
{com}. 
. reg tax_morale2_e i.T_message##i.lirs_enforce i.market_size i.rent_dummy i.yoruba i.trust i.friends_market i.club if T_messenger!=1, r

{txt}Linear regression                               Number of obs     = {res}       612
                                                {txt}F(18, 593)        =  {res}     0.69
                                                {txt}Prob > F          = {res}    0.8223
                                                {txt}R-squared         = {res}    0.0209
                                                {txt}Root MSE          =    {res} 1.1128

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                          tax_morale2_e{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      t{col 73}   P>|t|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 30}T_message {c |}
{space 27}Enforcement  {c |}{col 41}{res}{space 2}-.0558465{col 53}{space 2}  .133929{col 64}{space 1}   -0.42{col 73}{space 3}0.677{col 81}{space 4}-.3188793{col 94}{space 3} .2071864
{txt}{space 26}Public Goods  {c |}{col 41}{res}{space 2}-.0027453{col 53}{space 2} .1351552{col 64}{space 1}   -0.02{col 73}{space 3}0.984{col 81}{space 4}-.2681863{col 94}{space 3} .2626957
{txt}{space 39} {c |}
{space 25}1.lirs_enforce {c |}{col 41}{res}{space 2} .0444285{col 53}{space 2} .1399762{col 64}{space 1}    0.32{col 73}{space 3}0.751{col 81}{space 4}-.2304808{col 94}{space 3} .3193378
{txt}{space 39} {c |}
{space 17}T_message#lirs_enforce {c |}
{space 25}Enforcement#1  {c |}{col 41}{res}{space 2} -.142268{col 53}{space 2} .2358973{col 64}{space 1}   -0.60{col 73}{space 3}0.547{col 81}{space 4}-.6055638{col 94}{space 3} .3210278
{txt}{space 24}Public Goods#1  {c |}{col 41}{res}{space 2} .1055695{col 53}{space 2} .2323275{col 64}{space 1}    0.45{col 73}{space 3}0.650{col 81}{space 4}-.3507152{col 94}{space 3} .5618543
{txt}{space 39} {c |}
{space 28}market_size {c |}
{space 20}6 to 34 interviews  {c |}{col 41}{res}{space 2} .1327414{col 53}{space 2} .1455862{col 64}{space 1}    0.91{col 73}{space 3}0.362{col 81}{space 4}-.1531858{col 94}{space 3} .4186686
{txt}{space 19}35 to 79 interviews  {c |}{col 41}{res}{space 2} .1556123{col 53}{space 2} .1675065{col 64}{space 1}    0.93{col 73}{space 3}0.353{col 81}{space 4}-.1733659{col 94}{space 3} .4845905
{txt}{space 23}> 79 interviews  {c |}{col 41}{res}{space 2} .0948823{col 53}{space 2} .1435773{col 64}{space 1}    0.66{col 73}{space 3}0.509{col 81}{space 4}-.1870995{col 94}{space 3} .3768641
{txt}{space 39} {c |}
{space 29}rent_dummy {c |}
{space 24}N3751 to N7000  {c |}{col 41}{res}{space 2}-.0649638{col 53}{space 2}  .123011{col 64}{space 1}   -0.53{col 73}{space 3}0.598{col 81}{space 4} -.306554{col 94}{space 3} .1766263
{txt}{space 23}N7001 to N15000  {c |}{col 41}{res}{space 2}-.0907664{col 53}{space 2} .1344723{col 64}{space 1}   -0.67{col 73}{space 3}0.500{col 81}{space 4}-.3548663{col 94}{space 3} .1733335
{txt}{space 30}> N15000  {c |}{col 41}{res}{space 2}-.0575539{col 53}{space 2} .1362026{col 64}{space 1}   -0.42{col 73}{space 3}0.673{col 81}{space 4} -.325052{col 94}{space 3} .2099443
{txt}{space 39} {c |}
{space 33}yoruba {c |}
{space 32}Yoruba  {c |}{col 41}{res}{space 2} .2150991{col 53}{space 2} .0928499{col 64}{space 1}    2.32{col 73}{space 3}0.021{col 81}{space 4} .0327445{col 94}{space 3} .3974536
{txt}{space 39} {c |}
{space 34}trust {c |}
{space 18}Trust state IRS more  {c |}{col 41}{res}{space 2}  .023467{col 53}{space 2} .1424085{col 64}{space 1}    0.16{col 73}{space 3}0.869{col 81}{space 4}-.2562194{col 94}{space 3} .3031534
{txt}{space 4}Trust marketplace association more  {c |}{col 41}{res}{space 2}-.0522301{col 53}{space 2} .1126422{col 64}{space 1}   -0.46{col 73}{space 3}0.643{col 81}{space 4}-.2734563{col 94}{space 3}  .168996
{txt}No response recorded/Refused to answer  {c |}{col 41}{res}{space 2} .1199493{col 53}{space 2} .1342206{col 64}{space 1}    0.89{col 73}{space 3}0.372{col 81}{space 4}-.1436562{col 94}{space 3} .3835548
{txt}{space 39} {c |}
{space 25}friends_market {c |}
{space 6}Vendor has friends in the market  {c |}{col 41}{res}{space 2} .1215268{col 53}{space 2} .0936789{col 64}{space 1}    1.30{col 73}{space 3}0.195{col 81}{space 4} -.062456{col 94}{space 3} .3055097
{txt}{space 39} {c |}
{space 35}club {c |}
{space 18}Yes, one association  {c |}{col 41}{res}{space 2}-.0392161{col 53}{space 2} .1010447{col 64}{space 1}   -0.39{col 73}{space 3}0.698{col 81}{space 4}-.2376651{col 94}{space 3} .1592328
{txt}{space 16}Yes, many associations  {c |}{col 41}{res}{space 2}-.0259864{col 53}{space 2} .1441738{col 64}{space 1}   -0.18{col 73}{space 3}0.857{col 81}{space 4}-.3091397{col 94}{space 3} .2571669
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} 2.420038{col 53}{space 2} .1835374{col 64}{space 1}   13.19{col 73}{space 3}0.000{col 81}{space 4} 2.059575{col 94}{space 3}   2.7805
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m6
{txt}
{com}. 
. reg tax_morale2_e i.T_message##i.mpa_enforce $controls if T_messenger!=2, r

{txt}Linear regression                               Number of obs     = {res}       609
                                                {txt}F(19, 589)        =  {res}     1.34
                                                {txt}Prob > F          = {res}    0.1495
                                                {txt}R-squared         = {res}    0.0386
                                                {txt}Root MSE          =    {res} 1.1022

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                              tax_morale2_e{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2} -.375135{col 57}{space 2} .1606286{col 68}{space 1}   -2.34{col 77}{space 3}0.020{col 85}{space 4}-.6906096{col 98}{space 3}-.0596604
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2} .0268852{col 57}{space 2} .1649638{col 68}{space 1}    0.16{col 77}{space 3}0.871{col 85}{space 4}-.2971037{col 98}{space 3}  .350874
{txt}{space 43} {c |}
{space 30}1.mpa_enforce {c |}{col 45}{res}{space 2} -.152251{col 57}{space 2} .1325429{col 68}{space 1}   -1.15{col 77}{space 3}0.251{col 85}{space 4}-.4125652{col 98}{space 3} .1080632
{txt}{space 43} {c |}
{space 22}T_message#mpa_enforce {c |}
{space 29}Enforcement#1  {c |}{col 45}{res}{space 2} .3752629{col 57}{space 2} .2179802{col 68}{space 1}    1.72{col 77}{space 3}0.086{col 85}{space 4}-.0528501{col 98}{space 3} .8033759
{txt}{space 28}Public Goods#1  {c |}{col 45}{res}{space 2} .0601303{col 57}{space 2} .2254356{col 68}{space 1}    0.27{col 77}{space 3}0.790{col 85}{space 4} -.382625{col 98}{space 3} .5028857
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.1165562{col 57}{space 2} .1465061{col 68}{space 1}   -0.80{col 77}{space 3}0.427{col 85}{space 4}-.4042941{col 98}{space 3} .1711817
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2} .0260642{col 57}{space 2} .1672784{col 68}{space 1}    0.16{col 77}{space 3}0.876{col 85}{space 4}-.3024705{col 98}{space 3} .3545988
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.1189987{col 57}{space 2} .1447288{col 68}{space 1}   -0.82{col 77}{space 3}0.411{col 85}{space 4} -.403246{col 98}{space 3} .1652486
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0467004{col 57}{space 2} .1199196{col 68}{space 1}    0.39{col 77}{space 3}0.697{col 85}{space 4}-.1888216{col 98}{space 3} .2822224
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0527154{col 57}{space 2} .1317514{col 68}{space 1}    0.40{col 77}{space 3}0.689{col 85}{space 4}-.2060443{col 98}{space 3} .3114751
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}-.0739082{col 57}{space 2} .1301913{col 68}{space 1}   -0.57{col 77}{space 3}0.570{col 85}{space 4}-.3296039{col 98}{space 3} .1817876
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .2932106{col 57}{space 2}  .093442{col 68}{space 1}    3.14{col 77}{space 3}0.002{col 85}{space 4} .1096906{col 98}{space 3} .4767306
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0716004{col 57}{space 2} .1408183{col 68}{space 1}    0.51{col 77}{space 3}0.611{col 85}{space 4}-.2049668{col 98}{space 3} .3481676
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0536876{col 57}{space 2} .1096612{col 68}{space 1}    0.49{col 77}{space 3}0.625{col 85}{space 4}-.1616869{col 98}{space 3} .2690621
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .1145401{col 57}{space 2} .1407005{col 68}{space 1}    0.81{col 77}{space 3}0.416{col 85}{space 4}-.1617957{col 98}{space 3} .3908759
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0952269{col 57}{space 2} .0994214{col 68}{space 1}    0.96{col 77}{space 3}0.339{col 85}{space 4}-.1000367{col 98}{space 3} .2904906
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .1070996{col 57}{space 2} .0915361{col 68}{space 1}    1.17{col 77}{space 3}0.242{col 85}{space 4}-.0726772{col 98}{space 3} .2868765
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2}   .04588{col 57}{space 2} .1020418{col 68}{space 1}    0.45{col 77}{space 3}0.653{col 85}{space 4}-.1545301{col 98}{space 3} .2462901
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2}-.0367146{col 57}{space 2} .1433308{col 68}{space 1}   -0.26{col 77}{space 3}0.798{col 85}{space 4}-.3182163{col 98}{space 3} .2447871
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} 2.533625{col 57}{space 2}  .198176{col 68}{space 1}   12.78{col 77}{space 3}0.000{col 85}{space 4} 2.144408{col 98}{space 3} 2.922843
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m7
{txt}
{com}. 
. reg tax_morale2_e i.T_messenger##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       925
                                                {txt}F(18, 906)        =  {res}     1.19
                                                {txt}Prob > F          = {res}    0.2593
                                                {txt}R-squared         = {res}    0.0228
                                                {txt}Root MSE          =    {res}  1.108

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                              tax_morale2_e{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2} -.152496{col 57}{space 2} .1273997{col 68}{space 1}   -1.20{col 77}{space 3}0.232{col 85}{space 4}-.4025288{col 98}{space 3} .0975369
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.0474876{col 57}{space 2} .1279271{col 68}{space 1}   -0.37{col 77}{space 3}0.711{col 85}{space 4}-.2985555{col 98}{space 3} .2035803
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .1949982{col 57}{space 2} .1300684{col 68}{space 1}    1.50{col 77}{space 3}0.134{col 85}{space 4}-.0602723{col 98}{space 3} .4502686
{txt}{space 43} {c |}
{space 25}T_messenger#yoruba {c |}
{space 21}Informal Agent#Yoruba  {c |}{col 45}{res}{space 2} .1973317{col 57}{space 2} .1789869{col 68}{space 1}    1.10{col 77}{space 3}0.271{col 85}{space 4}-.1539455{col 98}{space 3}  .548609
{txt}{space 24}State Agent#Yoruba  {c |}{col 45}{res}{space 2} .0056211{col 57}{space 2} .1803055{col 68}{space 1}    0.03{col 77}{space 3}0.975{col 85}{space 4} -.348244{col 98}{space 3} .3594861
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0042367{col 57}{space 2}  .119925{col 68}{space 1}   -0.04{col 77}{space 3}0.972{col 85}{space 4}-.2395997{col 98}{space 3} .2311263
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2} .0923824{col 57}{space 2} .1352485{col 68}{space 1}    0.68{col 77}{space 3}0.495{col 85}{space 4}-.1730544{col 98}{space 3} .3578192
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0488928{col 57}{space 2} .1183701{col 68}{space 1}   -0.41{col 77}{space 3}0.680{col 85}{space 4}-.2812043{col 98}{space 3} .1834187
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0131044{col 57}{space 2} .0991628{col 68}{space 1}   -0.13{col 77}{space 3}0.895{col 85}{space 4}-.2077199{col 98}{space 3} .1815112
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}-.0380297{col 57}{space 2} .1077944{col 68}{space 1}   -0.35{col 77}{space 3}0.724{col 85}{space 4}-.2495854{col 98}{space 3}  .173526
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}-.0549149{col 57}{space 2} .1084117{col 68}{space 1}   -0.51{col 77}{space 3}0.613{col 85}{space 4}-.2676821{col 98}{space 3} .1578524
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0493153{col 57}{space 2} .1148059{col 68}{space 1}    0.43{col 77}{space 3}0.668{col 85}{space 4}-.1760011{col 98}{space 3} .2746317
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0165045{col 57}{space 2} .0900029{col 68}{space 1}    0.18{col 77}{space 3}0.855{col 85}{space 4}-.1601339{col 98}{space 3} .1931428
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .0767901{col 57}{space 2} .1095689{col 68}{space 1}    0.70{col 77}{space 3}0.484{col 85}{space 4}-.1382481{col 98}{space 3} .2918284
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0702974{col 57}{space 2} .0805438{col 68}{space 1}    0.87{col 77}{space 3}0.383{col 85}{space 4}-.0877768{col 98}{space 3} .2283715
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0924834{col 57}{space 2} .0749401{col 68}{space 1}    1.23{col 77}{space 3}0.217{col 85}{space 4}-.0545931{col 98}{space 3} .2395598
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2}-.0483276{col 57}{space 2} .0828611{col 68}{space 1}   -0.58{col 77}{space 3}0.560{col 85}{space 4}-.2109496{col 98}{space 3} .1142944
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2}-.0288465{col 57}{space 2} .1184091{col 68}{space 1}   -0.24{col 77}{space 3}0.808{col 85}{space 4}-.2612345{col 98}{space 3} .2035415
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} 2.509305{col 57}{space 2} .1615592{col 68}{space 1}   15.53{col 77}{space 3}0.000{col 85}{space 4} 2.192231{col 98}{space 3} 2.826378
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m3
{txt}
{com}. 
. reg tax_morale2_e i.T_message##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club , robust

{txt}Linear regression                               Number of obs     = {res}       925
                                                {txt}F(18, 906)        =  {res}     1.56
                                                {txt}Prob > F          = {res}    0.0643
                                                {txt}R-squared         = {res}    0.0308
                                                {txt}Root MSE          =    {res} 1.1034

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                              tax_morale2_e{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2}-.2748847{col 57}{space 2} .1255382{col 68}{space 1}   -2.19{col 77}{space 3}0.029{col 85}{space 4}-.5212643{col 98}{space 3}-.0285052
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2} .0902278{col 57}{space 2} .1281183{col 68}{space 1}    0.70{col 77}{space 3}0.481{col 85}{space 4}-.1612153{col 98}{space 3} .3416709
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .1954688{col 57}{space 2} .1299847{col 68}{space 1}    1.50{col 77}{space 3}0.133{col 85}{space 4}-.0596374{col 98}{space 3}  .450575
{txt}{space 43} {c |}
{space 27}T_message#yoruba {c |}
{space 24}Enforcement#Yoruba  {c |}{col 45}{res}{space 2} .2792237{col 57}{space 2} .1780142{col 68}{space 1}    1.57{col 77}{space 3}0.117{col 85}{space 4}-.0701444{col 98}{space 3} .6285919
{txt}{space 23}Public Goods#Yoruba  {c |}{col 45}{res}{space 2}-.0905282{col 57}{space 2} .1802618{col 68}{space 1}   -0.50{col 77}{space 3}0.616{col 85}{space 4}-.4443073{col 98}{space 3}  .263251
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0105523{col 57}{space 2} .1203009{col 68}{space 1}   -0.09{col 77}{space 3}0.930{col 85}{space 4}-.2466531{col 98}{space 3} .2255485
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2} .0875109{col 57}{space 2} .1356416{col 68}{space 1}    0.65{col 77}{space 3}0.519{col 85}{space 4}-.1786973{col 98}{space 3} .3537191
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2} -.049287{col 57}{space 2} .1187554{col 68}{space 1}   -0.42{col 77}{space 3}0.678{col 85}{space 4}-.2823547{col 98}{space 3} .1837808
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0064233{col 57}{space 2} .0982685{col 68}{space 1}   -0.07{col 77}{space 3}0.948{col 85}{space 4}-.1992836{col 98}{space 3} .1864371
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} -.034161{col 57}{space 2} .1070758{col 68}{space 1}   -0.32{col 77}{space 3}0.750{col 85}{space 4}-.2443065{col 98}{space 3} .1759845
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}-.0543328{col 57}{space 2} .1074133{col 68}{space 1}   -0.51{col 77}{space 3}0.613{col 85}{space 4}-.2651406{col 98}{space 3}  .156475
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0582181{col 57}{space 2}  .114584{col 68}{space 1}    0.51{col 77}{space 3}0.612{col 85}{space 4}-.1666629{col 98}{space 3} .2830991
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0210232{col 57}{space 2} .0896315{col 68}{space 1}    0.23{col 77}{space 3}0.815{col 85}{space 4}-.1548863{col 98}{space 3} .1969326
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .0929012{col 57}{space 2} .1089308{col 68}{space 1}    0.85{col 77}{space 3}0.394{col 85}{space 4}-.1208848{col 98}{space 3} .3066873
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0697885{col 57}{space 2} .0802224{col 68}{space 1}    0.87{col 77}{space 3}0.385{col 85}{space 4}-.0876549{col 98}{space 3} .2272319
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0906895{col 57}{space 2} .0745017{col 68}{space 1}    1.22{col 77}{space 3}0.224{col 85}{space 4}-.0555264{col 98}{space 3} .2369055
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2}-.0382109{col 57}{space 2} .0827824{col 68}{space 1}   -0.46{col 77}{space 3}0.644{col 85}{space 4}-.2006785{col 98}{space 3} .1242568
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2}-.0247355{col 57}{space 2} .1169545{col 68}{space 1}   -0.21{col 77}{space 3}0.833{col 85}{space 4}-.2542688{col 98}{space 3} .2047977
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2}   2.5017{col 57}{space 2} .1609906{col 68}{space 1}   15.54{col 77}{space 3}0.000{col 85}{space 4} 2.185742{col 98}{space 3} 2.817658
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m4
{txt}
{com}. 
. reg tax_morale2_e T_messenger##c.mpaquality $controls , cluster(mname_b)

{txt}Linear regression                               Number of obs     = {res}       925
                                                {txt}F(19, 151)        =  {res}     1.14
                                                {txt}Prob > F          = {res}    0.3149
                                                {txt}R-squared         = {res}    0.0215
                                                {txt}Root MSE          =    {res} 1.1093

{txt}{ralign 109:(Std. err. adjusted for {res:152} clusters in {res:mname_b})}
{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                              tax_morale2_e{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0286157{col 57}{space 2} .2390087{col 68}{space 1}   -0.12{col 77}{space 3}0.905{col 85}{space 4}-.5008489{col 98}{space 3} .4436175
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0846089{col 57}{space 2} .2479579{col 68}{space 1}    0.34{col 77}{space 3}0.733{col 85}{space 4} -.405306{col 98}{space 3} .5745239
{txt}{space 43} {c |}
{space 33}mpaquality {c |}{col 45}{res}{space 2} .0987087{col 57}{space 2} .3563661{col 68}{space 1}    0.28{col 77}{space 3}0.782{col 85}{space 4}-.6053991{col 98}{space 3} .8028165
{txt}{space 43} {c |}
{space 19}T_messenger#c.mpaquality {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0529249{col 57}{space 2} .4465287{col 68}{space 1}   -0.12{col 77}{space 3}0.906{col 85}{space 4}-.9351759{col 98}{space 3} .8293261
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.2705323{col 57}{space 2} .4883488{col 68}{space 1}   -0.55{col 77}{space 3}0.580{col 85}{space 4}-1.235411{col 98}{space 3} .6943466
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} -.001488{col 57}{space 2} .1100258{col 68}{space 1}   -0.01{col 77}{space 3}0.989{col 85}{space 4}-.2188769{col 98}{space 3} .2159008
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}  .095245{col 57}{space 2} .1137037{col 68}{space 1}    0.84{col 77}{space 3}0.404{col 85}{space 4}-.1294106{col 98}{space 3} .3199006
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0414953{col 57}{space 2} .0998483{col 68}{space 1}   -0.42{col 77}{space 3}0.678{col 85}{space 4}-.2387754{col 98}{space 3} .1557849
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0130402{col 57}{space 2} .0846038{col 68}{space 1}   -0.15{col 77}{space 3}0.878{col 85}{space 4}-.1802003{col 98}{space 3} .1541198
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} -.042617{col 57}{space 2}  .100305{col 68}{space 1}   -0.42{col 77}{space 3}0.672{col 85}{space 4}-.2407996{col 98}{space 3} .1555656
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}-.0515428{col 57}{space 2} .0884283{col 68}{space 1}   -0.58{col 77}{space 3}0.561{col 85}{space 4}-.2262593{col 98}{space 3} .1231737
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .2657432{col 57}{space 2} .0842975{col 68}{space 1}    3.15{col 77}{space 3}0.002{col 85}{space 4} .0991883{col 98}{space 3} .4322981
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0478654{col 57}{space 2} .1084354{col 68}{space 1}    0.44{col 77}{space 3}0.660{col 85}{space 4}-.1663812{col 98}{space 3}  .262112
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0117845{col 57}{space 2} .0962463{col 68}{space 1}    0.12{col 77}{space 3}0.903{col 85}{space 4}-.1783789{col 98}{space 3} .2019479
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .0732972{col 57}{space 2} .0983997{col 68}{space 1}    0.74{col 77}{space 3}0.457{col 85}{space 4}-.1211208{col 98}{space 3} .2677153
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0700124{col 57}{space 2} .0677181{col 68}{space 1}    1.03{col 77}{space 3}0.303{col 85}{space 4}-.0637849{col 98}{space 3} .2038098
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0946547{col 57}{space 2} .0695229{col 68}{space 1}    1.36{col 77}{space 3}0.175{col 85}{space 4}-.0427086{col 98}{space 3}  .232018
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2}-.0451509{col 57}{space 2} .0849896{col 68}{space 1}   -0.53{col 77}{space 3}0.596{col 85}{space 4}-.2130733{col 98}{space 3} .1227715
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2}-.0302765{col 57}{space 2} .1571527{col 68}{space 1}   -0.19{col 77}{space 3}0.847{col 85}{space 4}-.3407786{col 98}{space 3} .2802255
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} 2.423141{col 57}{space 2} .2324274{col 68}{space 1}   10.43{col 77}{space 3}0.000{col 85}{space 4} 1.963911{col 98}{space 3} 2.882371
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m5
{txt}
{com}. 
. esttab m0 m1 m2 m6 m7 m3 m4 /// 
>         using "diffeffects_morale.tex", star(+ 0.1 * 0.05 ** 0.01 *** 0.001) se b(3) se(3) r2(2) label booktabs  replace ///
>         stats(N, labels("Observations") f(0))  ///
>         title("Effect of Tax Appeals on Tax Morale \label{c -(}tab:diffeffectsmorale{c )-}")  ///
>         varlabels (_cons Constant) ///
>         drop(*.market_size *.rent_dummy *.trust *.lirs_connect *.friends_market *.club ) ///
>         nonotes  nobaselevels  nogaps mtitles("\shortstack{c -(}Effect of\\Messenger Treatment{c )-}" "\shortstack{c -(}Relative Trust\\in Messenger{c )-}" "\shortstack{c -(}Message Credibility\\through Service Access{c )-}" "\shortstack{c -(}Message Credibility\\through LIRS Contact{c )-}" "\shortstack{c -(}Message Credibility\\through MPA Contact{c )-}" "\shortstack{c -(}Message Treatment\\by Ethnicity{c )-}" "\shortstack{c -(}Messenger Treatment\\by Ethnicity{c )-}") ///
>         addnote("OLS model with robust standard errors, blocking variables included as controls. $^+ p<0.10$, $^{c -(}*{c )-} p<0.05$, $^{c -(}**{c )-} p<0.01$, $^{c -(}***{c )-} p<0.001$") ///
>         sub("\begin{c -(}tabular{c )-}" "\begin{c -(}adjustbox{c )-}{c -(}width=0.8\textwidth, totalheight=0.5\textheight{c )-} \begin{c -(}tabular{c )-}" "\end{c -(}tabular{c )-}" "\end{c -(}tabular{c )-} \end{c -(}adjustbox{c )-}")     
{res}{txt}{p 0 4 2}
(file {bf}
diffeffects_morale.tex{rm}
not found)
{p_end}
(output written to {browse  `"diffeffects_morale.tex"'})

{com}. 
. // Fig 7 
. 
. interflex etcc2 T_marketassoc mpaquality lirs_mpaquality T_lirs market_size_2 market_size_3 market_size_4 rent_dummy_1 rent_dummy_2 rent_dummy_3 yoruba trust_1 trust_2 trust_3 lirs_connect friends_market club_1 club_2, cluster(mname_b) ///
>         xlabel("MPA Quality Index") ///
>         ylabel("e-TCC Registration") ///
>         dlabel("MPA Treatment")
{txt}p value of Wald test: {res}0.0509
{txt}
{com}. graph export "mpaquality_etcc2_MPA.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
mpaquality_etcc2_MPA.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // Fig 8
. 
. reg punish_state_e i.T_messenger##i.service_access_d_b $controls , r

{txt}Linear regression                               Number of obs     = {res}       498
                                                {txt}F(19, 478)        =  {res}     0.93
                                                {txt}Prob > F          = {res}    0.5458
                                                {txt}R-squared         = {res}    0.0342
                                                {txt}Root MSE          =    {res}  3.949

{txt}{hline 48}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 49}{c |}{col 61}    Robust
{col 1}                                 punish_state_e{col 49}{c |} Coefficient{col 61}  std. err.{col 73}      t{col 81}   P>|t|{col 89}     [95% con{col 102}f. interval]
{hline 48}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_messenger {c |}
{space 32}Informal Agent  {c |}{col 49}{res}{space 2}-.1636003{col 61}{space 2} .5460113{col 72}{space 1}   -0.30{col 81}{space 3}0.765{col 89}{space 4}-1.236479{col 102}{space 3} .9092788
{txt}{space 35}State Agent  {c |}{col 49}{res}{space 2}-.0461685{col 61}{space 2} .5413119{col 72}{space 1}   -0.09{col 81}{space 3}0.932{col 89}{space 4}-1.109814{col 102}{space 3} 1.017477
{txt}{space 47} {c |}
{space 29}service_access_d_b {c |}
{space 15}Above-median access to services  {c |}{col 49}{res}{space 2}-1.624315{col 61}{space 2} .6694503{col 72}{space 1}   -2.43{col 81}{space 3}0.016{col 89}{space 4}-2.939744{col 102}{space 3}-.3088858
{txt}{space 47} {c |}
{space 17}T_messenger#service_access_d_b {c |}
Informal Agent#Above-median access to services  {c |}{col 49}{res}{space 2} 1.853259{col 61}{space 2} .9134868{col 72}{space 1}    2.03{col 81}{space 3}0.043{col 89}{space 4} .0583127{col 102}{space 3} 3.648205
{txt}{space 3}State Agent#Above-median access to services  {c |}{col 49}{res}{space 2} 1.423625{col 61}{space 2} .9287637{col 72}{space 1}    1.53{col 81}{space 3}0.126{col 89}{space 4}-.4013393{col 102}{space 3} 3.248589
{txt}{space 47} {c |}
{space 36}market_size {c |}
{space 28}6 to 34 interviews  {c |}{col 49}{res}{space 2}-.5358049{col 61}{space 2} .6414239{col 72}{space 1}   -0.84{col 81}{space 3}0.404{col 89}{space 4}-1.796164{col 102}{space 3} .7245541
{txt}{space 27}35 to 79 interviews  {c |}{col 49}{res}{space 2}-.5956756{col 61}{space 2} .6969537{col 72}{space 1}   -0.85{col 81}{space 3}0.393{col 89}{space 4}-1.965147{col 102}{space 3}  .773796
{txt}{space 31}> 79 interviews  {c |}{col 49}{res}{space 2}-.2247121{col 61}{space 2} .6262907{col 72}{space 1}   -0.36{col 81}{space 3}0.720{col 89}{space 4}-1.455335{col 102}{space 3} 1.005911
{txt}{space 47} {c |}
{space 37}rent_dummy {c |}
{space 32}N3751 to N7000  {c |}{col 49}{res}{space 2} .2474274{col 61}{space 2} .4819229{col 72}{space 1}    0.51{col 81}{space 3}0.608{col 89}{space 4}-.6995219{col 102}{space 3} 1.194377
{txt}{space 31}N7001 to N15000  {c |}{col 49}{res}{space 2}-.4647484{col 61}{space 2} .5439795{col 72}{space 1}   -0.85{col 81}{space 3}0.393{col 89}{space 4}-1.533635{col 102}{space 3} .6041383
{txt}{space 38}> N15000  {c |}{col 49}{res}{space 2} .2334067{col 61}{space 2} .5096133{col 72}{space 1}    0.46{col 81}{space 3}0.647{col 89}{space 4}-.7679525{col 102}{space 3} 1.234766
{txt}{space 47} {c |}
{space 41}yoruba {c |}
{space 40}Yoruba  {c |}{col 49}{res}{space 2} .1581679{col 61}{space 2} .3743068{col 72}{space 1}    0.42{col 81}{space 3}0.673{col 89}{space 4}-.5773222{col 102}{space 3} .8936581
{txt}{space 47} {c |}
{space 42}trust {c |}
{space 26}Trust state IRS more  {c |}{col 49}{res}{space 2} .3867194{col 61}{space 2} .5813238{col 72}{space 1}    0.67{col 81}{space 3}0.506{col 89}{space 4}-.7555466{col 102}{space 3} 1.528985
{txt}{space 12}Trust marketplace association more  {c |}{col 49}{res}{space 2}-.2882212{col 61}{space 2} .4442144{col 72}{space 1}   -0.65{col 81}{space 3}0.517{col 89}{space 4}-1.161075{col 102}{space 3} .5846331
{txt}{space 8}No response recorded/Refused to answer  {c |}{col 49}{res}{space 2} .9266496{col 61}{space 2} .5332466{col 72}{space 1}    1.74{col 81}{space 3}0.083{col 89}{space 4}-.1211476{col 102}{space 3} 1.974447
{txt}{space 47} {c |}
{space 35}lirs_connect {c |}
{space 4}Vendor has prior connection with state IRS  {c |}{col 49}{res}{space 2} .4743284{col 61}{space 2} .3845717{col 72}{space 1}    1.23{col 81}{space 3}0.218{col 89}{space 4}-.2813317{col 102}{space 3} 1.229988
{txt}{space 47} {c |}
{space 33}friends_market {c |}
{space 14}Vendor has friends in the market  {c |}{col 49}{res}{space 2} .0473069{col 61}{space 2}  .373337{col 72}{space 1}    0.13{col 81}{space 3}0.899{col 89}{space 4}-.6862776{col 102}{space 3} .7808915
{txt}{space 47} {c |}
{space 43}club {c |}
{space 26}Yes, one association  {c |}{col 49}{res}{space 2}-.0341349{col 61}{space 2} .4002523{col 72}{space 1}   -0.09{col 81}{space 3}0.932{col 89}{space 4}-.8206064{col 102}{space 3} .7523366
{txt}{space 24}Yes, many associations  {c |}{col 49}{res}{space 2}-.0916023{col 61}{space 2} .5640348{col 72}{space 1}   -0.16{col 81}{space 3}0.871{col 89}{space 4}-1.199896{col 102}{space 3} 1.016692
{txt}{space 47} {c |}
{space 42}_cons {c |}{col 49}{res}{space 2} 5.958581{col 61}{space 2} .7901905{col 72}{space 1}    7.54{col 81}{space 3}0.000{col 89}{space 4} 4.405904{col 102}{space 3} 7.511257
{txt}{hline 48}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(1.T_messenger) by(service_access_d_b)
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:498}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.T_messenger}{p_end}
{p2col:Over:}{res:service_access_d_b}{p_end}
{p2colreset}{...}

{res}{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46} Delta-method
{col 34}{c |}      dy/dx{col 46}   std. err.{col 58}      t{col 66}   P>|t|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_messenger                   {col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.T_messenger                    {txt}{c |}
{space 14}service_access_d_b {c |}
Below-median access to services  {c |}{col 34}{res}{space 2}-.1636003{col 46}{space 2} .5460113{col 57}{space 1}   -0.30{col 66}{space 3}0.765{col 74}{space 4}-1.236479{col 87}{space 3} .9092788
{txt}Above-median access to services  {c |}{col 34}{res}{space 2} 1.689658{col 46}{space 2} .7375557{col 57}{space 1}    2.29{col 66}{space 3}0.022{col 74}{space 4} .2404063{col 87}{space 3} 3.138911
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 98}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(, noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("MPA Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         legend(off) name(mpa, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:service_access_d_b}{p_end}
{res}{txt}
{com}. 
. margins, dydx(2.T_messenger) by(service_access_d_b)
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:498}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:2.T_messenger}{p_end}
{p2col:Over:}{res:service_access_d_b}{p_end}
{p2colreset}{...}

{res}{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46} Delta-method
{col 34}{c |}      dy/dx{col 46}   std. err.{col 58}      t{col 66}   P>|t|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_messenger                   {col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.T_messenger                    {txt}{c |}
{space 14}service_access_d_b {c |}
Below-median access to services  {c |}{col 34}{res}{space 2}-.0461685{col 46}{space 2} .5413119{col 57}{space 1}   -0.09{col 66}{space 3}0.932{col 74}{space 4}-1.109814{col 87}{space 3} 1.017477
{txt}Above-median access to services  {c |}{col 34}{res}{space 2} 1.377457{col 46}{space 2} .7532013{col 57}{space 1}    1.83{col 66}{space 3}0.068{col 74}{space 4}-.1025383{col 87}{space 3} 2.857451
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 98}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(, noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("LIRS Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         legend(off) name(lirs, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:service_access_d_b}{p_end}
{res}{txt}
{com}. 
. reg punish_state_e i.T_message##i.service_access_d_b $controls , r

{txt}Linear regression                               Number of obs     = {res}       498
                                                {txt}F(19, 478)        =  {res}     0.95
                                                {txt}Prob > F          = {res}    0.5211
                                                {txt}R-squared         = {res}    0.0342
                                                {txt}Root MSE          =    {res} 3.9489

{txt}{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                               punish_state_e{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_message {c |}
{space 33}Enforcement  {c |}{col 47}{res}{space 2}-.1648628{col 59}{space 2} .5519557{col 70}{space 1}   -0.30{col 79}{space 3}0.765{col 87}{space 4}-1.249422{col 100}{space 3} .9196967
{txt}{space 32}Public Goods  {c |}{col 47}{res}{space 2}-.0571471{col 59}{space 2} .5398973{col 70}{space 1}   -0.11{col 79}{space 3}0.916{col 87}{space 4}-1.118013{col 100}{space 3} 1.003718
{txt}{space 45} {c |}
{space 27}service_access_d_b {c |}
{space 13}Above-median access to services  {c |}{col 47}{res}{space 2}-1.635447{col 59}{space 2} .6691285{col 70}{space 1}   -2.44{col 79}{space 3}0.015{col 87}{space 4}-2.950244{col 100}{space 3}-.3206496
{txt}{space 45} {c |}
{space 17}T_message#service_access_d_b {c |}
{space 1}Enforcement#Above-median access to services  {c |}{col 47}{res}{space 2} 1.876934{col 59}{space 2} .9141126{col 70}{space 1}    2.05{col 79}{space 3}0.041{col 87}{space 4} .0807582{col 100}{space 3}  3.67311
{txt}Public Goods#Above-median access to services  {c |}{col 47}{res}{space 2} 1.426968{col 59}{space 2} .9312287{col 70}{space 1}    1.53{col 79}{space 3}0.126{col 87}{space 4}  -.40284{col 100}{space 3} 3.256776
{txt}{space 45} {c |}
{space 34}market_size {c |}
{space 26}6 to 34 interviews  {c |}{col 47}{res}{space 2}-.5244563{col 59}{space 2} .6399545{col 70}{space 1}   -0.82{col 79}{space 3}0.413{col 87}{space 4}-1.781928{col 100}{space 3} .7330155
{txt}{space 25}35 to 79 interviews  {c |}{col 47}{res}{space 2}-.5780372{col 59}{space 2} .6955924{col 70}{space 1}   -0.83{col 79}{space 3}0.406{col 87}{space 4}-1.944834{col 100}{space 3} .7887597
{txt}{space 29}> 79 interviews  {c |}{col 47}{res}{space 2}-.2044498{col 59}{space 2} .6247048{col 70}{space 1}   -0.33{col 79}{space 3}0.744{col 87}{space 4}-1.431957{col 100}{space 3} 1.023057
{txt}{space 45} {c |}
{space 35}rent_dummy {c |}
{space 30}N3751 to N7000  {c |}{col 47}{res}{space 2} .2247125{col 59}{space 2} .4844836{col 70}{space 1}    0.46{col 79}{space 3}0.643{col 87}{space 4}-.7272683{col 100}{space 3} 1.176693
{txt}{space 29}N7001 to N15000  {c |}{col 47}{res}{space 2}-.4660899{col 59}{space 2} .5454715{col 70}{space 1}   -0.85{col 79}{space 3}0.393{col 87}{space 4}-1.537908{col 100}{space 3} .6057284
{txt}{space 36}> N15000  {c |}{col 47}{res}{space 2}  .229392{col 59}{space 2} .5110103{col 70}{space 1}    0.45{col 79}{space 3}0.654{col 87}{space 4}-.7747121{col 100}{space 3} 1.233496
{txt}{space 45} {c |}
{space 39}yoruba {c |}
{space 38}Yoruba  {c |}{col 47}{res}{space 2} .1687746{col 59}{space 2} .3747865{col 70}{space 1}    0.45{col 79}{space 3}0.653{col 87}{space 4}-.5676581{col 100}{space 3} .9052073
{txt}{space 45} {c |}
{space 40}trust {c |}
{space 24}Trust state IRS more  {c |}{col 47}{res}{space 2} .4258239{col 59}{space 2} .5789565{col 70}{space 1}    0.74{col 79}{space 3}0.462{col 87}{space 4}-.7117905{col 100}{space 3} 1.563438
{txt}{space 10}Trust marketplace association more  {c |}{col 47}{res}{space 2}-.2552546{col 59}{space 2} .4446979{col 70}{space 1}   -0.57{col 79}{space 3}0.566{col 87}{space 4}-1.129059{col 100}{space 3} .6185497
{txt}{space 6}No response recorded/Refused to answer  {c |}{col 47}{res}{space 2} .9510517{col 59}{space 2} .5333626{col 70}{space 1}    1.78{col 79}{space 3}0.075{col 87}{space 4}-.0969736{col 100}{space 3} 1.999077
{txt}{space 45} {c |}
{space 33}lirs_connect {c |}
{space 2}Vendor has prior connection with state IRS  {c |}{col 47}{res}{space 2} .4892483{col 59}{space 2} .3865988{col 70}{space 1}    1.27{col 79}{space 3}0.206{col 87}{space 4}-.2703949{col 100}{space 3} 1.248891
{txt}{space 45} {c |}
{space 31}friends_market {c |}
{space 12}Vendor has friends in the market  {c |}{col 47}{res}{space 2} .0262818{col 59}{space 2} .3701384{col 70}{space 1}    0.07{col 79}{space 3}0.943{col 87}{space 4}-.7010176{col 100}{space 3} .7535812
{txt}{space 45} {c |}
{space 41}club {c |}
{space 24}Yes, one association  {c |}{col 47}{res}{space 2}-.0324485{col 59}{space 2} .4013934{col 70}{space 1}   -0.08{col 79}{space 3}0.936{col 87}{space 4} -.821162{col 100}{space 3} .7562651
{txt}{space 22}Yes, many associations  {c |}{col 47}{res}{space 2}-.0797025{col 59}{space 2} .5652204{col 70}{space 1}   -0.14{col 79}{space 3}0.888{col 87}{space 4}-1.190326{col 100}{space 3} 1.030921
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2}  5.93386{col 59}{space 2} .7887512{col 70}{space 1}    7.52{col 79}{space 3}0.000{col 87}{space 4} 4.384012{col 100}{space 3} 7.483708
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, dydx(1.T_message) by(service_access_d_b)
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:498}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.T_message}{p_end}
{p2col:Over:}{res:service_access_d_b}{p_end}
{p2colreset}{...}

{res}{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46} Delta-method
{col 34}{c |}      dy/dx{col 46}   std. err.{col 58}      t{col 66}   P>|t|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message                     {col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.T_message                      {txt}{c |}
{space 14}service_access_d_b {c |}
Below-median access to services  {c |}{col 34}{res}{space 2}-.1648628{col 46}{space 2} .5519557{col 57}{space 1}   -0.30{col 66}{space 3}0.765{col 74}{space 4}-1.249422{col 87}{space 3} .9196967
{txt}Above-median access to services  {c |}{col 34}{res}{space 2} 1.712071{col 46}{space 2} .7240416{col 57}{space 1}    2.36{col 66}{space 3}0.018{col 74}{space 4} .2893733{col 87}{space 3} 3.134769
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 98}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(, noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Enforcement Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         legend(off) name(pg, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:service_access_d_b}{p_end}
{res}{txt}
{com}. 
. margins, dydx(2.T_message) by(service_access_d_b)
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:498}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:2.T_message}{p_end}
{p2col:Over:}{res:service_access_d_b}{p_end}
{p2colreset}{...}

{res}{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46} Delta-method
{col 34}{c |}      dy/dx{col 46}   std. err.{col 58}      t{col 66}   P>|t|{col 74}     [95% con{col 87}f. interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_message                     {col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.T_message                      {txt}{c |}
{space 14}service_access_d_b {c |}
Below-median access to services  {c |}{col 34}{res}{space 2}-.0571471{col 46}{space 2} .5398973{col 57}{space 1}   -0.11{col 66}{space 3}0.916{col 74}{space 4}-1.118013{col 87}{space 3} 1.003718
{txt}Above-median access to services  {c |}{col 34}{res}{space 2} 1.369821{col 46}{space 2} .7677749{col 57}{space 1}    1.78{col 66}{space 3}0.075{col 74}{space 4}-.1388104{col 87}{space 3} 2.878452
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 98}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(, noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("Public Goods Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         legend(off) name(enforce, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:service_access_d_b}{p_end}
{res}{txt}
{com}. 
. graph combine mpa lirs pg enforce
{res}{txt}
{com}. graph export "treatment_punishment_byservices.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
treatment_punishment_byservices.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // Fig 9
. 
. reg etcc2 i.T_messenger##i.mpasolve i.market_size i.rent_dummy i.yoruba i.lirs_connect i.friends_market i.club, robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(16, 974)        =  {res}     2.51
                                                {txt}Prob > F          = {res}    0.0009
                                                {txt}R-squared         = {res}    0.0420
                                                {txt}Root MSE          =    {res} .33222

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0183268{col 57}{space 2} .0306207{col 68}{space 1}   -0.60{col 77}{space 3}0.550{col 85}{space 4} -.078417{col 98}{space 3} .0417634
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0697498{col 57}{space 2} .0355453{col 68}{space 1}    1.96{col 77}{space 3}0.050{col 85}{space 4}-4.51e-06{col 98}{space 3}  .139504
{txt}{space 43} {c |}
{space 33}1.mpasolve {c |}{col 45}{res}{space 2} .0126365{col 57}{space 2} .0382265{col 68}{space 1}    0.33{col 77}{space 3}0.741{col 85}{space 4}-.0623793{col 98}{space 3} .0876524
{txt}{space 43} {c |}
{space 23}T_messenger#mpasolve {c |}
{space 26}Informal Agent#1  {c |}{col 45}{res}{space 2} .0413505{col 57}{space 2} .0535059{col 68}{space 1}    0.77{col 77}{space 3}0.440{col 85}{space 4}-.0636495{col 98}{space 3} .1463506
{txt}{space 29}State Agent#1  {c |}{col 45}{res}{space 2} -.100385{col 57}{space 2} .0537892{col 68}{space 1}   -1.87{col 77}{space 3}0.062{col 85}{space 4}-.2059411{col 98}{space 3} .0051711
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0246202{col 57}{space 2} .0388964{col 68}{space 1}    0.63{col 77}{space 3}0.527{col 85}{space 4}-.0517103{col 98}{space 3} .1009506
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0472685{col 57}{space 2} .0403835{col 68}{space 1}   -1.17{col 77}{space 3}0.242{col 85}{space 4}-.1265173{col 98}{space 3} .0319803
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0651005{col 57}{space 2} .0368803{col 68}{space 1}   -1.77{col 77}{space 3}0.078{col 85}{space 4}-.1374744{col 98}{space 3} .0072734
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0125946{col 57}{space 2} .0275853{col 68}{space 1}    0.46{col 77}{space 3}0.648{col 85}{space 4}-.0415388{col 98}{space 3}  .066728
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0570055{col 57}{space 2} .0311298{col 68}{space 1}    1.83{col 77}{space 3}0.067{col 85}{space 4}-.0040836{col 98}{space 3} .1180946
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0331278{col 57}{space 2} .0295099{col 68}{space 1}    1.12{col 77}{space 3}0.262{col 85}{space 4}-.0247824{col 98}{space 3} .0910381
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0695612{col 57}{space 2} .0217754{col 68}{space 1}    3.19{col 77}{space 3}0.001{col 85}{space 4} .0268292{col 98}{space 3} .1122933
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0248589{col 57}{space 2} .0238153{col 68}{space 1}    1.04{col 77}{space 3}0.297{col 85}{space 4}-.0218762{col 98}{space 3} .0715941
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0181619{col 57}{space 2} .0216378{col 68}{space 1}    0.84{col 77}{space 3}0.401{col 85}{space 4}-.0243002{col 98}{space 3}  .060624
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0418677{col 57}{space 2} .0240942{col 68}{space 1}    1.74{col 77}{space 3}0.083{col 85}{space 4}-.0054147{col 98}{space 3} .0891502
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0372408{col 57}{space 2} .0341073{col 68}{space 1}    1.09{col 77}{space 3}0.275{col 85}{space 4}-.0296914{col 98}{space 3} .1041731
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2}  .048086{col 57}{space 2} .0442666{col 68}{space 1}    1.09{col 77}{space 3}0.278{col 85}{space 4}-.0387828{col 98}{space 3} .1349549
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[1.T_messenger#1.mpasolve]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,9]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(1.T_messenger) at(mpasolve=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:991}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:1.T_messenger}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 8:mpasolve} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 8:mpasolve} = {res:{ralign 1:1}}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_messenger {col 16}{txt}{c |}  (base outcome)
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.T_messenger  {txt}{c |}
{space 11}_at {c |}
{space 12}1  {c |}{col 16}{res}{space 2}-.0183268{col 28}{space 2} .0306207{col 39}{space 1}   -0.60{col 48}{space 3}0.550{col 56}{space 4} -.078417{col 69}{space 3} .0417634
{txt}{space 12}2  {c |}{col 16}{res}{space 2} .0230237{col 28}{space 2} .0439363{col 39}{space 1}    0.52{col 48}{space 3}0.600{col 56}{space 4} -.063197{col 69}{space 3} .1092445
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Not MPA" 1 "MPA", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("MPA Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     ///
>         legend(off) name(mpa, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mpasolve}{p_end}
{res}{txt}
{com}. *graph export "etcc2ByTrustmargins_trust2_MPA.pdf", as(pdf) replace
.         
. reg etcc2 i.T_messenger##i.mpasolve i.market_size i.rent_dummy i.yoruba i.lirs_connect i.friends_market i.club, robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(16, 974)        =  {res}     2.51
                                                {txt}Prob > F          = {res}    0.0009
                                                {txt}R-squared         = {res}    0.0420
                                                {txt}Root MSE          =    {res} .33222

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0183268{col 57}{space 2} .0306207{col 68}{space 1}   -0.60{col 77}{space 3}0.550{col 85}{space 4} -.078417{col 98}{space 3} .0417634
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0697498{col 57}{space 2} .0355453{col 68}{space 1}    1.96{col 77}{space 3}0.050{col 85}{space 4}-4.51e-06{col 98}{space 3}  .139504
{txt}{space 43} {c |}
{space 33}1.mpasolve {c |}{col 45}{res}{space 2} .0126365{col 57}{space 2} .0382265{col 68}{space 1}    0.33{col 77}{space 3}0.741{col 85}{space 4}-.0623793{col 98}{space 3} .0876524
{txt}{space 43} {c |}
{space 23}T_messenger#mpasolve {c |}
{space 26}Informal Agent#1  {c |}{col 45}{res}{space 2} .0413505{col 57}{space 2} .0535059{col 68}{space 1}    0.77{col 77}{space 3}0.440{col 85}{space 4}-.0636495{col 98}{space 3} .1463506
{txt}{space 29}State Agent#1  {c |}{col 45}{res}{space 2} -.100385{col 57}{space 2} .0537892{col 68}{space 1}   -1.87{col 77}{space 3}0.062{col 85}{space 4}-.2059411{col 98}{space 3} .0051711
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0246202{col 57}{space 2} .0388964{col 68}{space 1}    0.63{col 77}{space 3}0.527{col 85}{space 4}-.0517103{col 98}{space 3} .1009506
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0472685{col 57}{space 2} .0403835{col 68}{space 1}   -1.17{col 77}{space 3}0.242{col 85}{space 4}-.1265173{col 98}{space 3} .0319803
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0651005{col 57}{space 2} .0368803{col 68}{space 1}   -1.77{col 77}{space 3}0.078{col 85}{space 4}-.1374744{col 98}{space 3} .0072734
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0125946{col 57}{space 2} .0275853{col 68}{space 1}    0.46{col 77}{space 3}0.648{col 85}{space 4}-.0415388{col 98}{space 3}  .066728
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0570055{col 57}{space 2} .0311298{col 68}{space 1}    1.83{col 77}{space 3}0.067{col 85}{space 4}-.0040836{col 98}{space 3} .1180946
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0331278{col 57}{space 2} .0295099{col 68}{space 1}    1.12{col 77}{space 3}0.262{col 85}{space 4}-.0247824{col 98}{space 3} .0910381
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0695612{col 57}{space 2} .0217754{col 68}{space 1}    3.19{col 77}{space 3}0.001{col 85}{space 4} .0268292{col 98}{space 3} .1122933
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0248589{col 57}{space 2} .0238153{col 68}{space 1}    1.04{col 77}{space 3}0.297{col 85}{space 4}-.0218762{col 98}{space 3} .0715941
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0181619{col 57}{space 2} .0216378{col 68}{space 1}    0.84{col 77}{space 3}0.401{col 85}{space 4}-.0243002{col 98}{space 3}  .060624
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0418677{col 57}{space 2} .0240942{col 68}{space 1}    1.74{col 77}{space 3}0.083{col 85}{space 4}-.0054147{col 98}{space 3} .0891502
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0372408{col 57}{space 2} .0341073{col 68}{space 1}    1.09{col 77}{space 3}0.275{col 85}{space 4}-.0296914{col 98}{space 3} .1041731
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2}  .048086{col 57}{space 2} .0442666{col 68}{space 1}    1.09{col 77}{space 3}0.278{col 85}{space 4}-.0387828{col 98}{space 3} .1349549
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. local c: di %4.3f _b[2.T_messenger#1.mpasolve]
{res}{txt}
{com}. matrix table=r(table)
{txt}
{com}. local p= table[4,11]
{txt}
{com}. local p: di %4.3f `p'
{res}{txt}
{com}. margins, dydx(2.T_messenger) at(mpasolve=(0(1)1))
{res}
{txt}{col 1}Average marginal effects{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:991}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:dy/dx wrt:}{res:2.T_messenger}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 8:mpasolve} = {res:{ralign 1:0}}
{lalign 7:2._at: }{space 0}{lalign 8:mpasolve} = {res:{ralign 1:1}}

{res}{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28} Delta-method
{col 16}{c |}      dy/dx{col 28}   std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.T_messenger {col 16}{txt}{c |}  (base outcome)
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}2.T_messenger  {txt}{c |}
{space 11}_at {c |}
{space 12}1  {c |}{col 16}{res}{space 2} .0697498{col 28}{space 2} .0355453{col 39}{space 1}    1.96{col 48}{space 3}0.050{col 56}{space 4}-4.51e-06{col 69}{space 3}  .139504
{txt}{space 12}2  {c |}{col 16}{res}{space 2}-.0306352{col 28}{space 2}  .040395{col 39}{space 1}   -0.76{col 48}{space 3}0.448{col 56}{space 4}-.1099064{col 69}{space 3} .0486359
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 80}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0) recast(scatter) ///
>         xlabel(0 "Not MPA" 1 "MPA", labsize(medium) noticks nogrid) ///
>         ylabel(, noticks nogrid) ///
>         xtitle("") ///
>         ytitle("") ///
>         title("LIRS Treatment", size(medlarge)) ///
>         xscale(range(-0.25(0.25)1.25)) ///
>         note("Interaction term: coefficient = `c', p = `p'", ring(0) position(12) color(gs10) size(medium))     /// 
>         legend(off) yscale(off) name(lirs, replace)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:mpasolve}{p_end}
{res}{txt}
{com}. *graph export "etcc2ByTrustmargins_trust2_LIRS.pdf", as(pdf) replace
. 
. gr combine mpa lirs, ycommon xcommon graphregion(color(white)) rows(1) b2title("Marginal Effects with 95% CI", pos(12)) b1(Who would you approach to solve a problem in the market?)
{res}{txt}
{com}. graph export "etcc2Bympasolve.pdf", as(pdf) replace
{txt}{p 0 4 2}
file {bf}
etcc2Bympasolve.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // Table 5
. 
. gen t1_lirs = 0 if treat_assg == "T1"
{txt}(1,074 missing values generated)

{com}. replace t1_lirs = 1 if treat_assg == "T2" | treat_assg == "T3"
{txt}(430 real changes made)

{com}. 
. gen t1_mpa = 0 if treat_assg == "T1"
{txt}(1,074 missing values generated)

{com}. replace t1_mpa = 1 if treat_assg == "T4" | treat_assg == "T5"
{txt}(425 real changes made)

{com}. 
. preserve
{txt}
{com}. keep if treat_assg != "C"
{txt}(219 observations deleted)

{com}. 
. balancetable t1_lirs yoruba_b igbo_b hausa_b english_b yorubalang_b pidgin_b hausalang_b q84_b income q1_sex_b age educ rent market_size friends_market club2 tax_morale_b govservice_access_b trustmarketmore trust_lga_b trust_fed_b apc biz_loan visit_lirs using "balancetable_lirsall.tex", observationscolumn ctitles("\shortstack{c -(}Formalization\\only{c )-}" "\shortstack{c -(}LIRS\\Treatment{c )-}" "Difference" "Observations") varlabels replace booktabs 
{txt}checking {hilite:listtab} consistency and verifying not already installed...
installing into C:\Users\jagottli\ado\plus\...
installation complete.
{res}{txt}{p 0 4 2}
(file {bf}
balancetable_lirsall.tex{rm}
not found)
{p_end}

{com}. 
. balancetable t1_mpa yoruba_b igbo_b hausa_b english_b yorubalang_b pidgin_b hausalang_b q84_b income q1_sex_b age educ rent market_size friends_market club2 tax_morale_b govservice_access_b trustmarketmore trust_lga_b trust_fed_b apc biz_loan visit_lirs using "balancetable_mpaall.tex", observationscolumn ctitles("\shortstack{c -(}Formalization\\only{c )-}" "\shortstack{c -(}MPA\\Treatment{c )-}" "Difference" "Observations") varlabels replace booktabs 
{res}{txt}{p 0 4 2}
(file {bf}
balancetable_mpaall.tex{rm}
not found)
{p_end}

{com}. restore
{txt}
{com}. 
. // Table 6
. 
. gen int2_compliance = 1 if consent_int2 == "Yes"
{txt}(773 missing values generated)

{com}. replace int2_compliance = 0 if consent_int2 != "Yes" 
{txt}(773 real changes made)

{com}. replace int2_compliance = . if treat_assg == "T1" | treat_assg == "C"
{txt}(641 real changes made, 641 to missing)

{com}. 
. preserve
{txt}
{com}. keep if treat_assg != "C" | treat_assg != "T1"
{txt}(0 observations deleted)

{com}. 
. balancetable int2_compliance yoruba_b igbo_b hausa_b english_b yorubalang_b pidgin_b hausalang_b q84_b income q1_sex_b age educ using "balancetable_int2compliers1.tex", observationscolumn ctitles("Noncompliers" "Compliers" "Difference" "Observations") varlabels replace booktabs 
{res}{txt}{p 0 4 2}
(file {bf}
balancetable_int2compliers1.tex{rm}
not found)
{p_end}

{com}. 
. balancetable int2_compliance rent market_size friends_market club2 tax_morale_b govservice_access_b trustmarketmore trust_lga_b trust_fed_b apc biz_loan visit_lirs using "balancetable_int2compliers2.tex", observationscolumn ctitles("Noncompliers" "Compliers" "Difference" "Observations") varlabels replace booktabs 
{res}{txt}{p 0 4 2}
(file {bf}
balancetable_int2compliers2.tex{rm}
not found)
{p_end}

{com}. restore
{txt}
{com}. 
. // Table 7
. generate attriters = 1 
{txt}
{com}. replace attriters = 0 if consent_e == 1
{txt}(1,179 real changes made)

{com}. 
. balancetable attriters yoruba_b igbo_b hausa_b english_b yorubalang_b pidgin_b hausalang_b q84_b income q1_sex_b age educ using "balancetable_attriters1.tex", observationscolumn ctitles("Surveyed" "Attriters" "Difference" "Observations") varlabels replace booktabs 
{res}{txt}{p 0 4 2}
(file {bf}
balancetable_attriters1.tex{rm}
not found)
{p_end}

{com}. 
. balancetable attriters rent market_size friends_market club2 tax_morale_b govservice_access_b trustmarketmore trust_lga_b trust_fed_b apc biz_loan visit_lirs using "balancetable_attriters2.tex", observationscolumn ctitles("Surveyed" "Attriters" "Difference" "Observations") varlabels replace booktabs 
{res}{txt}{p 0 4 2}
(file {bf}
balancetable_attriters2.tex{rm}
not found)
{p_end}

{com}. 
. // Table 8
. 
. label var govservice_access_d_b "Government service access"
{txt}
{com}. label var rent_dummy "Market stall rent"
{txt}
{com}. 
. reg attriters i.T_messenger club2 govservice_access_d_b trust_fed_b q1_sex_b market_size rent_dummy yoruba trust lirs_connect friends_market educ, robust

{txt}Linear regression                               Number of obs     = {res}     1,176
                                                {txt}F(13, 1162)       =  {res}     2.70
                                                {txt}Prob > F          = {res}    0.0009
                                                {txt}R-squared         = {res}    0.0284
                                                {txt}Root MSE          =    {res} .41758

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            attriters{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}T_messenger {c |}
{space 6}Informal Agent  {c |}{col 23}{res}{space 2}-.0279522{col 35}{space 2} .0299154{col 46}{space 1}   -0.93{col 55}{space 3}0.350{col 63}{space 4}-.0866464{col 76}{space 3} .0307421
{txt}{space 9}State Agent  {c |}{col 23}{res}{space 2}-.0201178{col 35}{space 2} .0299809{col 46}{space 1}   -0.67{col 55}{space 3}0.502{col 63}{space 4}-.0789405{col 76}{space 3} .0387049
{txt}{space 21} {c |}
{space 16}club2 {c |}{col 23}{res}{space 2}-.0625674{col 35}{space 2} .0246752{col 46}{space 1}   -2.54{col 55}{space 3}0.011{col 63}{space 4}-.1109804{col 76}{space 3}-.0141544
{txt}govservice_access_d_b {c |}{col 23}{res}{space 2} .0530551{col 35}{space 2} .0261515{col 46}{space 1}    2.03{col 55}{space 3}0.043{col 63}{space 4} .0017457{col 76}{space 3} .1043646
{txt}{space 10}trust_fed_b {c |}{col 23}{res}{space 2} .0307287{col 35}{space 2} .0134146{col 46}{space 1}    2.29{col 55}{space 3}0.022{col 63}{space 4} .0044092{col 76}{space 3} .0570483
{txt}{space 13}q1_sex_b {c |}{col 23}{res}{space 2} .0480883{col 35}{space 2} .0269756{col 46}{space 1}    1.78{col 55}{space 3}0.075{col 63}{space 4}-.0048381{col 76}{space 3} .1010147
{txt}{space 10}market_size {c |}{col 23}{res}{space 2}  .020545{col 35}{space 2} .0114525{col 46}{space 1}    1.79{col 55}{space 3}0.073{col 63}{space 4}-.0019248{col 76}{space 3} .0430148
{txt}{space 11}rent_dummy {c |}{col 23}{res}{space 2} .0081852{col 35}{space 2} .0115776{col 46}{space 1}    0.71{col 55}{space 3}0.480{col 63}{space 4}-.0145301{col 76}{space 3} .0309004
{txt}{space 15}yoruba {c |}{col 23}{res}{space 2}-.0438374{col 35}{space 2} .0268153{col 46}{space 1}   -1.63{col 55}{space 3}0.102{col 63}{space 4}-.0964493{col 76}{space 3} .0087744
{txt}{space 16}trust {c |}{col 23}{res}{space 2}-.0157977{col 35}{space 2} .0115461{col 46}{space 1}   -1.37{col 55}{space 3}0.172{col 63}{space 4}-.0384512{col 76}{space 3} .0068558
{txt}{space 9}lirs_connect {c |}{col 23}{res}{space 2}-.0430455{col 35}{space 2} .0260201{col 46}{space 1}   -1.65{col 55}{space 3}0.098{col 63}{space 4}-.0940971{col 76}{space 3} .0080061
{txt}{space 7}friends_market {c |}{col 23}{res}{space 2}  .001529{col 35}{space 2} .0253375{col 46}{space 1}    0.06{col 55}{space 3}0.952{col 63}{space 4}-.0481834{col 76}{space 3} .0512415
{txt}{space 17}educ {c |}{col 23}{res}{space 2} .0114523{col 35}{space 2} .0081221{col 46}{space 1}    1.41{col 55}{space 3}0.159{col 63}{space 4}-.0044832{col 76}{space 3} .0273879
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0491444{col 35}{space 2}  .076582{col 46}{space 1}    0.64{col 55}{space 3}0.521{col 63}{space 4}-.1011101{col 76}{space 3} .1993988
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m1
{txt}
{com}. 
. reg attriters i.T_messenger club2 govservice_access_d_b trust_fed_b q1_sex_b market_size educ, robust 

{txt}Linear regression                               Number of obs     = {res}     1,176
                                                {txt}F(8, 1167)        =  {res}     3.31
                                                {txt}Prob > F          = {res}    0.0010
                                                {txt}R-squared         = {res}    0.0218
                                                {txt}Root MSE          =    {res} .41809

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            attriters{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}T_messenger {c |}
{space 6}Informal Agent  {c |}{col 23}{res}{space 2} -.029752{col 35}{space 2} .0299501{col 46}{space 1}   -0.99{col 55}{space 3}0.321{col 63}{space 4} -.088514{col 76}{space 3} .0290101
{txt}{space 9}State Agent  {c |}{col 23}{res}{space 2}-.0203347{col 35}{space 2} .0300805{col 46}{space 1}   -0.68{col 55}{space 3}0.499{col 63}{space 4}-.0793527{col 76}{space 3} .0386832
{txt}{space 21} {c |}
{space 16}club2 {c |}{col 23}{res}{space 2}-.0610293{col 35}{space 2} .0244145{col 46}{space 1}   -2.50{col 55}{space 3}0.013{col 63}{space 4}-.1089306{col 76}{space 3}-.0131281
{txt}govservice_access_d_b {c |}{col 23}{res}{space 2} .0566619{col 35}{space 2}   .02584{col 46}{space 1}    2.19{col 55}{space 3}0.029{col 63}{space 4} .0059638{col 76}{space 3} .1073599
{txt}{space 10}trust_fed_b {c |}{col 23}{res}{space 2} .0284466{col 35}{space 2} .0133705{col 46}{space 1}    2.13{col 55}{space 3}0.034{col 63}{space 4} .0022137{col 76}{space 3} .0546795
{txt}{space 13}q1_sex_b {c |}{col 23}{res}{space 2} .0344897{col 35}{space 2} .0249974{col 46}{space 1}    1.38{col 55}{space 3}0.168{col 63}{space 4}-.0145553{col 76}{space 3} .0835346
{txt}{space 10}market_size {c |}{col 23}{res}{space 2}  .023813{col 35}{space 2} .0112408{col 46}{space 1}    2.12{col 55}{space 3}0.034{col 63}{space 4} .0017586{col 76}{space 3} .0458674
{txt}{space 17}educ {c |}{col 23}{res}{space 2} .0108886{col 35}{space 2} .0080793{col 46}{space 1}    1.35{col 55}{space 3}0.178{col 63}{space 4} -.004963{col 76}{space 3} .0267403
{txt}{space 16}_cons {c |}{col 23}{res}{space 2} .0264847{col 35}{space 2}  .073153{col 46}{space 1}    0.36{col 55}{space 3}0.717{col 63}{space 4}-.1170414{col 76}{space 3} .1700107
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m2
{txt}
{com}. 
. reg attriters i.T_messenger##i.club2 govservice_access_d_b trust_fed_b q1_sex_b market_size educ, robust

{txt}Linear regression                               Number of obs     = {res}     1,176
                                                {txt}F(10, 1165)       =  {res}     3.02
                                                {txt}Prob > F          = {res}    0.0009
                                                {txt}R-squared         = {res}    0.0245
                                                {txt}Root MSE          =    {res} .41788

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  attriters{col 29}{c |} Coefficient{col 41}  std. err.{col 53}      t{col 61}   P>|t|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}T_messenger {c |}
{space 12}Informal Agent  {c |}{col 29}{res}{space 2}-.0665757{col 41}{space 2} .0413001{col 52}{space 1}   -1.61{col 61}{space 3}0.107{col 69}{space 4}-.1476065{col 82}{space 3} .0144552
{txt}{space 15}State Agent  {c |}{col 29}{res}{space 2}-.0616619{col 41}{space 2} .0412598{col 52}{space 1}   -1.49{col 61}{space 3}0.135{col 69}{space 4}-.1426137{col 82}{space 3}   .01929
{txt}{space 27} {c |}
{space 22}club2 {c |}
{space 15}Club Member  {c |}{col 29}{res}{space 2}-.1241869{col 41}{space 2} .0424986{col 52}{space 1}   -2.92{col 61}{space 3}0.004{col 69}{space 4}-.2075693{col 82}{space 3}-.0408044
{txt}{space 27} {c |}
{space 10}T_messenger#club2 {c |}
Informal Agent#Club Member  {c |}{col 29}{res}{space 2} .0886114{col 41}{space 2} .0594125{col 52}{space 1}    1.49{col 61}{space 3}0.136{col 69}{space 4} -.027956{col 82}{space 3} .2051789
{txt}{space 3}State Agent#Club Member  {c |}{col 29}{res}{space 2}  .099363{col 41}{space 2} .0597213{col 52}{space 1}    1.66{col 61}{space 3}0.096{col 69}{space 4}-.0178104{col 82}{space 3} .2165364
{txt}{space 27} {c |}
{space 6}govservice_access_d_b {c |}{col 29}{res}{space 2} .0581273{col 41}{space 2} .0258109{col 52}{space 1}    2.25{col 61}{space 3}0.025{col 69}{space 4} .0074864{col 82}{space 3} .1087683
{txt}{space 16}trust_fed_b {c |}{col 29}{res}{space 2} .0277175{col 41}{space 2} .0133396{col 52}{space 1}    2.08{col 61}{space 3}0.038{col 69}{space 4} .0015451{col 82}{space 3} .0538899
{txt}{space 19}q1_sex_b {c |}{col 29}{res}{space 2}  .034463{col 41}{space 2} .0249712{col 52}{space 1}    1.38{col 61}{space 3}0.168{col 69}{space 4}-.0145306{col 82}{space 3} .0834565
{txt}{space 16}market_size {c |}{col 29}{res}{space 2} .0238264{col 41}{space 2} .0112207{col 52}{space 1}    2.12{col 61}{space 3}0.034{col 69}{space 4} .0018113{col 82}{space 3} .0458414
{txt}{space 23}educ {c |}{col 29}{res}{space 2}  .010423{col 41}{space 2} .0080869{col 52}{space 1}    1.29{col 61}{space 3}0.198{col 69}{space 4}-.0054435{col 82}{space 3} .0262896
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .0555535{col 41}{space 2} .0756683{col 52}{space 1}    0.73{col 61}{space 3}0.463{col 69}{space 4}-.0929078{col 82}{space 3} .2040149
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m3
{txt}
{com}. 
. reg attriters i.T_messenger club2 govservice_access_d_b trust_fed_b q1_sex_b market_size  educ income, robust

{txt}Linear regression                               Number of obs     = {res}       966
                                                {txt}F(9, 956)         =  {res}     3.76
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0332
                                                {txt}Root MSE          =    {res} .42033

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}            attriters{col 23}{c |} Coefficient{col 35}  std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}T_messenger {c |}
{space 6}Informal Agent  {c |}{col 23}{res}{space 2} -.031385{col 35}{space 2} .0335506{col 46}{space 1}   -0.94{col 55}{space 3}0.350{col 63}{space 4}-.0972262{col 76}{space 3} .0344563
{txt}{space 9}State Agent  {c |}{col 23}{res}{space 2} -.026044{col 35}{space 2} .0333614{col 46}{space 1}   -0.78{col 55}{space 3}0.435{col 63}{space 4} -.091514{col 76}{space 3} .0394261
{txt}{space 21} {c |}
{space 16}club2 {c |}{col 23}{res}{space 2}-.0896676{col 35}{space 2} .0272912{col 46}{space 1}   -3.29{col 55}{space 3}0.001{col 63}{space 4}-.1432252{col 76}{space 3}-.0361099
{txt}govservice_access_d_b {c |}{col 23}{res}{space 2} .0683247{col 35}{space 2} .0290811{col 46}{space 1}    2.35{col 55}{space 3}0.019{col 63}{space 4} .0112546{col 76}{space 3} .1253948
{txt}{space 10}trust_fed_b {c |}{col 23}{res}{space 2} .0307432{col 35}{space 2} .0151656{col 46}{space 1}    2.03{col 55}{space 3}0.043{col 63}{space 4} .0009814{col 76}{space 3} .0605049
{txt}{space 13}q1_sex_b {c |}{col 23}{res}{space 2} .0328283{col 35}{space 2} .0276259{col 46}{space 1}    1.19{col 55}{space 3}0.235{col 63}{space 4} -.021386{col 76}{space 3} .0870427
{txt}{space 10}market_size {c |}{col 23}{res}{space 2} .0228587{col 35}{space 2} .0123322{col 46}{space 1}    1.85{col 55}{space 3}0.064{col 63}{space 4}-.0013427{col 76}{space 3} .0470601
{txt}{space 17}educ {c |}{col 23}{res}{space 2} .0123522{col 35}{space 2}  .008978{col 46}{space 1}    1.38{col 55}{space 3}0.169{col 63}{space 4}-.0052667{col 76}{space 3} .0299711
{txt}{space 15}income {c |}{col 23}{res}{space 2} .0124723{col 35}{space 2} .0071996{col 46}{space 1}    1.73{col 55}{space 3}0.084{col 63}{space 4}-.0016566{col 76}{space 3} .0266011
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-.0081003{col 35}{space 2}  .083432{col 46}{space 1}   -0.10{col 55}{space 3}0.923{col 63}{space 4}-.1718313{col 76}{space 3} .1556308
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m4
{txt}
{com}. 
. esttab m1 m2 m3 m4 /// 
>         using "diffattrit.tex", star(+ 0.1 * 0.05 ** 0.01 *** 0.001) se b(3) se(3) r2(2) aic(0) label booktabs  replace ///
>         stats(N aic, labels("Observations" "AIC") f(0))  ///
>         title("Differential Attrition Across Treatment \label{c -(}tab:diffattrit{c )-}") ///
>         varlabels (_cons Constant) ///
>         nonotes  nobaselevels  nogaps mtitles("Model 1" "Model 2" "Model 3" "Model 4") ///
>         addnote("OLS model with robust standard errors, blocking variables included. $^+ p<0.10$, $^{c -(}*{c )-} p<0.05$, $^{c -(}**{c )-} p<0.01$, $^{c -(}***{c )-} p<0.001$") ///
>         sub("\begin{c -(}tabular{c )-}" "\begin{c -(}adjustbox{c )-}{c -(}width=0.7\textwidth, totalheight=0.7\textheight{c )-} \begin{c -(}tabular{c )-}" "\end{c -(}tabular{c )-}" "\end{c -(}tabular{c )-} \end{c -(}adjustbox{c )-}")     
{res}{txt}{p 0 4 2}
(file {bf}
diffattrit.tex{rm}
not found)
{p_end}
(output written to {browse  `"diffattrit.tex"'})

{com}. 
. // Fig 10
. set scheme plotplainblind
{txt}
{com}. 
. reg attriters i.T_messenger##i.club2 govservice_access_d_b trust_fed_b q1_sex_b market_size, robust

{txt}Linear regression                               Number of obs     = {res}     1,179
                                                {txt}F(9, 1169)        =  {res}     3.20
                                                {txt}Prob > F          = {res}    0.0008
                                                {txt}R-squared         = {res}    0.0232
                                                {txt}Root MSE          =    {res} .41815

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                  attriters{col 29}{c |} Coefficient{col 41}  std. err.{col 53}      t{col 61}   P>|t|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}T_messenger {c |}
{space 12}Informal Agent  {c |}{col 29}{res}{space 2}-.0695192{col 41}{space 2} .0412333{col 52}{space 1}   -1.69{col 61}{space 3}0.092{col 69}{space 4}-.1504189{col 82}{space 3} .0113804
{txt}{space 15}State Agent  {c |}{col 29}{res}{space 2}-.0674439{col 41}{space 2} .0412048{col 52}{space 1}   -1.64{col 61}{space 3}0.102{col 69}{space 4}-.1482875{col 82}{space 3} .0133997
{txt}{space 27} {c |}
{space 22}club2 {c |}
{space 15}Club Member  {c |}{col 29}{res}{space 2}-.1277414{col 41}{space 2}  .042485{col 52}{space 1}   -3.01{col 61}{space 3}0.003{col 69}{space 4}-.2110967{col 82}{space 3}-.0443861
{txt}{space 27} {c |}
{space 10}T_messenger#club2 {c |}
Informal Agent#Club Member  {c |}{col 29}{res}{space 2} .0929493{col 41}{space 2} .0594013{col 52}{space 1}    1.56{col 61}{space 3}0.118{col 69}{space 4}-.0235958{col 82}{space 3} .2094945
{txt}{space 3}State Agent#Club Member  {c |}{col 29}{res}{space 2}  .107333{col 41}{space 2} .0597904{col 52}{space 1}    1.80{col 61}{space 3}0.073{col 69}{space 4}-.0099756{col 82}{space 3} .2246415
{txt}{space 27} {c |}
{space 6}govservice_access_d_b {c |}{col 29}{res}{space 2} .0577996{col 41}{space 2} .0258141{col 52}{space 1}    2.24{col 61}{space 3}0.025{col 69}{space 4} .0071524{col 82}{space 3} .1084468
{txt}{space 16}trust_fed_b {c |}{col 29}{res}{space 2} .0274537{col 41}{space 2}  .013345{col 52}{space 1}    2.06{col 61}{space 3}0.040{col 69}{space 4} .0012709{col 82}{space 3} .0536364
{txt}{space 19}q1_sex_b {c |}{col 29}{res}{space 2}  .037057{col 41}{space 2} .0249895{col 52}{space 1}    1.48{col 61}{space 3}0.138{col 69}{space 4}-.0119722{col 82}{space 3} .0860862
{txt}{space 16}market_size {c |}{col 29}{res}{space 2}     .023{col 41}{space 2} .0112321{col 52}{space 1}    2.05{col 61}{space 3}0.041{col 69}{space 4} .0009627{col 82}{space 3} .0450374
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .1129262{col 41}{space 2} .0632647{col 52}{space 1}    1.78{col 61}{space 3}0.075{col 69}{space 4}-.0111988{col 82}{space 3} .2370512
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, by(club2 T_messenger)
{res}
{txt}{col 1}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,179}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2col:Over:}{res:club2 T_messenger}{p_end}
{p2colreset}{...}

{res}{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42} Delta-method
{col 30}{c |}     Margin{col 42}   std. err.{col 54}      t{col 62}   P>|t|{col 70}     [95% con{col 83}f. interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}club2#T_messenger {c |}
{space 1}Not a Member#No Tax Appeal  {c |}{col 30}{res}{space 2}   .30131{col 42}{space 2} .0304346{col 53}{space 1}    9.90{col 62}{space 3}0.000{col 70}{space 4} .2415976{col 83}{space 3} .3610225
{txt}Not a Member#Informal Agent  {c |}{col 30}{res}{space 2} .2286996{col 42}{space 2} .0280069{col 53}{space 1}    8.17{col 62}{space 3}0.000{col 70}{space 4} .1737502{col 83}{space 3} .2836489
{txt}{space 3}Not a Member#State Agent  {c |}{col 30}{res}{space 2} .2347826{col 42}{space 2} .0278186{col 53}{space 1}    8.44{col 62}{space 3}0.000{col 70}{space 4} .1802027{col 83}{space 3} .2893625
{txt}{space 2}Club Member#No Tax Appeal  {c |}{col 30}{res}{space 2} .1761006{col 42}{space 2} .0296691{col 53}{space 1}    5.94{col 62}{space 3}0.000{col 70}{space 4}   .11789{col 83}{space 3} .2343112
{txt}{space 1}Club Member#Informal Agent  {c |}{col 30}{res}{space 2} .2011834{col 42}{space 2} .0307476{col 53}{space 1}    6.54{col 62}{space 3}0.000{col 70}{space 4} .1408567{col 83}{space 3} .2615102
{txt}{space 4}Club Member#State Agent  {c |}{col 30}{res}{space 2} .2130178{col 42}{space 2} .0315211{col 53}{space 1}    6.76{col 62}{space 3}0.000{col 70}{space 4} .1511735{col 83}{space 3}  .274862
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter) xdimension(club2 T_messenger) horizontal ///
>         xtitle("Predicted Attrition") ytitle("") ///
>         ylabel(1 "No Tax Appeal" 2 "MPA Treatment" 3 "LIRS Treatment" 3.5 "{c -(}bf:NOT A MEMBER{c )-}" 4 "No Tax Appeal" 5 "MPA Treatment" 6 "LIRS Treatment" 6.5 "{c -(}bf:MEMBER OF CLUB{c )-}", noticks nogrid) ///
>         yline(3.5 6.5) 
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:club2 T_messenger}{p_end}
{res}{txt}
{com}. graph export "attritByClubmargins1.pdf", as(pdf) replace 
{txt}{p 0 4 2}
file {bf}
attritByClubmargins1.pdf{rm}
saved as
PDF
format
{p_end}

{com}. 
. // Table 9
. 
. gen in_endline = 0
{txt}
{com}. replace in_endline = 1 if consent_e == 1
{txt}(1,179 real changes made)

{com}. 
. reg in_endline i.T_messenger##i.club2 govservice_access_d_b trust_fed_b q1_sex_b market_size, robust

{txt}Linear regression                               Number of obs     = {res}     1,179
                                                {txt}F(9, 1169)        =  {res}     3.20
                                                {txt}Prob > F          = {res}    0.0008
                                                {txt}R-squared         = {res}    0.0232
                                                {txt}Root MSE          =    {res} .41815

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}                 in_endline{col 29}{c |} Coefficient{col 41}  std. err.{col 53}      t{col 61}   P>|t|{col 69}     [95% con{col 82}f. interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}T_messenger {c |}
{space 12}Informal Agent  {c |}{col 29}{res}{space 2} .0695192{col 41}{space 2} .0412333{col 52}{space 1}    1.69{col 61}{space 3}0.092{col 69}{space 4}-.0113804{col 82}{space 3} .1504189
{txt}{space 15}State Agent  {c |}{col 29}{res}{space 2} .0674439{col 41}{space 2} .0412048{col 52}{space 1}    1.64{col 61}{space 3}0.102{col 69}{space 4}-.0133997{col 82}{space 3} .1482875
{txt}{space 27} {c |}
{space 22}club2 {c |}
{space 15}Club Member  {c |}{col 29}{res}{space 2} .1277414{col 41}{space 2}  .042485{col 52}{space 1}    3.01{col 61}{space 3}0.003{col 69}{space 4} .0443861{col 82}{space 3} .2110967
{txt}{space 27} {c |}
{space 10}T_messenger#club2 {c |}
Informal Agent#Club Member  {c |}{col 29}{res}{space 2}-.0929493{col 41}{space 2} .0594013{col 52}{space 1}   -1.56{col 61}{space 3}0.118{col 69}{space 4}-.2094945{col 82}{space 3} .0235958
{txt}{space 3}State Agent#Club Member  {c |}{col 29}{res}{space 2} -.107333{col 41}{space 2} .0597904{col 52}{space 1}   -1.80{col 61}{space 3}0.073{col 69}{space 4}-.2246415{col 82}{space 3} .0099756
{txt}{space 27} {c |}
{space 6}govservice_access_d_b {c |}{col 29}{res}{space 2}-.0577996{col 41}{space 2} .0258141{col 52}{space 1}   -2.24{col 61}{space 3}0.025{col 69}{space 4}-.1084468{col 82}{space 3}-.0071524
{txt}{space 16}trust_fed_b {c |}{col 29}{res}{space 2}-.0274537{col 41}{space 2}  .013345{col 52}{space 1}   -2.06{col 61}{space 3}0.040{col 69}{space 4}-.0536364{col 82}{space 3}-.0012709
{txt}{space 19}q1_sex_b {c |}{col 29}{res}{space 2} -.037057{col 41}{space 2} .0249895{col 52}{space 1}   -1.48{col 61}{space 3}0.138{col 69}{space 4}-.0860862{col 82}{space 3} .0119722
{txt}{space 16}market_size {c |}{col 29}{res}{space 2}    -.023{col 41}{space 2} .0112321{col 52}{space 1}   -2.05{col 61}{space 3}0.041{col 69}{space 4}-.0450374{col 82}{space 3}-.0009627
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .8870738{col 41}{space 2} .0632647{col 52}{space 1}   14.02{col 61}{space 3}0.000{col 69}{space 4} .7629488{col 82}{space 3} 1.011199
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. predict pw, xb 
{txt}(317 missing values generated)

{com}. gen ipw = 1/pw
{txt}(317 missing values generated)

{com}. 
. reg etcc2 i.T_messenger##i.trust2 i.market_size i.rent_dummy i.yoruba i.lirs_connect i.friends_market i.club [pw = ipw], robust
{txt}(sum of wgt is 1,063.870911479)

Linear regression                               Number of obs     = {res}       817
                                                {txt}F(16, 800)        =  {res}     2.27
                                                {txt}Prob > F          = {res}    0.0031
                                                {txt}R-squared         = {res}    0.0513
                                                {txt}Root MSE          =    {res} .33539

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0397552{col 57}{space 2} .0553476{col 68}{space 1}   -0.72{col 77}{space 3}0.473{col 85}{space 4}-.1483988{col 98}{space 3} .0688884
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.1001359{col 57}{space 2} .0522437{col 68}{space 1}   -1.92{col 77}{space 3}0.056{col 85}{space 4}-.2026868{col 98}{space 3} .0024149
{txt}{space 43} {c |}
{space 37}trust2 {c |}
{space 20}Trust LIRS weakly more  {c |}{col 45}{res}{space 2}-.0915703{col 57}{space 2}  .048296{col 68}{space 1}   -1.90{col 77}{space 3}0.058{col 85}{space 4}-.1863721{col 98}{space 3} .0032314
{txt}{space 43} {c |}
{space 25}T_messenger#trust2 {c |}
{space 5}Informal Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2}  .049692{col 57}{space 2} .0645227{col 68}{space 1}    0.77{col 77}{space 3}0.441{col 85}{space 4}-.0769618{col 98}{space 3} .1763459
{txt}{space 8}State Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .1866395{col 57}{space 2} .0635061{col 68}{space 1}    2.94{col 77}{space 3}0.003{col 85}{space 4} .0619812{col 98}{space 3} .3112978
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0329733{col 57}{space 2} .0431237{col 68}{space 1}    0.76{col 77}{space 3}0.445{col 85}{space 4}-.0516756{col 98}{space 3} .1176222
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0271252{col 57}{space 2} .0457504{col 68}{space 1}   -0.59{col 77}{space 3}0.553{col 85}{space 4}-.1169302{col 98}{space 3} .0626799
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0818258{col 57}{space 2} .0400088{col 68}{space 1}   -2.05{col 77}{space 3}0.041{col 85}{space 4}-.1603604{col 98}{space 3}-.0032912
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0036873{col 57}{space 2} .0317447{col 68}{space 1}   -0.12{col 77}{space 3}0.908{col 85}{space 4}-.0660001{col 98}{space 3} .0586255
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0425173{col 57}{space 2} .0350559{col 68}{space 1}    1.21{col 77}{space 3}0.226{col 85}{space 4}-.0262952{col 98}{space 3} .1113297
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0183372{col 57}{space 2} .0335058{col 68}{space 1}    0.55{col 77}{space 3}0.584{col 85}{space 4}-.0474325{col 98}{space 3}  .084107
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0569676{col 57}{space 2} .0237487{col 68}{space 1}    2.40{col 77}{space 3}0.017{col 85}{space 4} .0103505{col 98}{space 3} .1035846
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0222351{col 57}{space 2} .0257401{col 68}{space 1}    0.86{col 77}{space 3}0.388{col 85}{space 4}-.0282909{col 98}{space 3} .0727611
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0168531{col 57}{space 2} .0241871{col 68}{space 1}    0.70{col 77}{space 3}0.486{col 85}{space 4}-.0306246{col 98}{space 3} .0643308
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0584847{col 57}{space 2} .0276821{col 68}{space 1}    2.11{col 77}{space 3}0.035{col 85}{space 4} .0041466{col 98}{space 3} .1128227
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0175344{col 57}{space 2} .0366741{col 68}{space 1}    0.48{col 77}{space 3}0.633{col 85}{space 4}-.0544543{col 98}{space 3} .0895232
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .1376614{col 57}{space 2} .0619952{col 68}{space 1}    2.22{col 77}{space 3}0.027{col 85}{space 4} .0159688{col 98}{space 3} .2593539
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m1
{txt}
{com}. 
. reg etcc2 i.T_message##i.service_access_d_b $controls [pw = ipw], r
{txt}(sum of wgt is 1,179.18367195129)

Linear regression                               Number of obs     = {res}       907
                                                {txt}F(19, 887)        =  {res}     2.03
                                                {txt}Prob > F          = {res}    0.0059
                                                {txt}R-squared         = {res}    0.0466
                                                {txt}Root MSE          =    {res} .33473

{txt}{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                        etcc2{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_message {c |}
{space 33}Enforcement  {c |}{col 47}{res}{space 2}-.0345175{col 59}{space 2} .0329085{col 70}{space 1}   -1.05{col 79}{space 3}0.295{col 87}{space 4}-.0991052{col 100}{space 3} .0300701
{txt}{space 32}Public Goods  {c |}{col 47}{res}{space 2} .0026343{col 59}{space 2} .0347125{col 70}{space 1}    0.08{col 79}{space 3}0.940{col 87}{space 4} -.065494{col 100}{space 3} .0707625
{txt}{space 45} {c |}
{space 27}service_access_d_b {c |}
{space 13}Above-median access to services  {c |}{col 47}{res}{space 2} -.029297{col 59}{space 2}   .04103{col 70}{space 1}   -0.71{col 79}{space 3}0.475{col 87}{space 4}-.1098242{col 100}{space 3} .0512302
{txt}{space 45} {c |}
{space 17}T_message#service_access_d_b {c |}
{space 1}Enforcement#Above-median access to services  {c |}{col 47}{res}{space 2} .1504562{col 59}{space 2} .0623092{col 70}{space 1}    2.41{col 79}{space 3}0.016{col 87}{space 4} .0281657{col 100}{space 3} .2727468
{txt}Public Goods#Above-median access to services  {c |}{col 47}{res}{space 2}-.0149649{col 59}{space 2} .0556621{col 70}{space 1}   -0.27{col 79}{space 3}0.788{col 87}{space 4}-.1242098{col 100}{space 3} .0942799
{txt}{space 45} {c |}
{space 34}market_size {c |}
{space 26}6 to 34 interviews  {c |}{col 47}{res}{space 2} .0249101{col 59}{space 2} .0417975{col 70}{space 1}    0.60{col 79}{space 3}0.551{col 87}{space 4}-.0571234{col 100}{space 3} .1069436
{txt}{space 25}35 to 79 interviews  {c |}{col 47}{res}{space 2}-.0370038{col 59}{space 2} .0440884{col 70}{space 1}   -0.84{col 79}{space 3}0.402{col 87}{space 4}-.1235336{col 100}{space 3} .0495261
{txt}{space 29}> 79 interviews  {c |}{col 47}{res}{space 2}-.0646616{col 59}{space 2} .0395261{col 70}{space 1}   -1.64{col 79}{space 3}0.102{col 87}{space 4}-.1422372{col 100}{space 3} .0129139
{txt}{space 45} {c |}
{space 35}rent_dummy {c |}
{space 30}N3751 to N7000  {c |}{col 47}{res}{space 2} .0194819{col 59}{space 2} .0300242{col 70}{space 1}    0.65{col 79}{space 3}0.517{col 87}{space 4} -.039445{col 100}{space 3} .0784087
{txt}{space 29}N7001 to N15000  {c |}{col 47}{res}{space 2} .0521005{col 59}{space 2} .0333207{col 70}{space 1}    1.56{col 79}{space 3}0.118{col 87}{space 4}-.0132962{col 100}{space 3} .1174972
{txt}{space 36}> N15000  {c |}{col 47}{res}{space 2} .0205231{col 59}{space 2} .0310662{col 70}{space 1}    0.66{col 79}{space 3}0.509{col 87}{space 4}-.0404488{col 100}{space 3}  .081495
{txt}{space 45} {c |}
{space 39}yoruba {c |}
{space 38}Yoruba  {c |}{col 47}{res}{space 2} .0661798{col 59}{space 2} .0230898{col 70}{space 1}    2.87{col 79}{space 3}0.004{col 87}{space 4} .0208628{col 100}{space 3} .1114968
{txt}{space 45} {c |}
{space 40}trust {c |}
{space 24}Trust state IRS more  {c |}{col 47}{res}{space 2} .0084084{col 59}{space 2} .0354732{col 70}{space 1}    0.24{col 79}{space 3}0.813{col 87}{space 4}-.0612128{col 100}{space 3} .0780296
{txt}{space 10}Trust marketplace association more  {c |}{col 47}{res}{space 2} .0170249{col 59}{space 2} .0266032{col 70}{space 1}    0.64{col 79}{space 3}0.522{col 87}{space 4}-.0351877{col 100}{space 3} .0692375
{txt}{space 6}No response recorded/Refused to answer  {c |}{col 47}{res}{space 2}-.0058226{col 59}{space 2} .0382251{col 70}{space 1}   -0.15{col 79}{space 3}0.879{col 87}{space 4}-.0808448{col 100}{space 3} .0691996
{txt}{space 45} {c |}
{space 33}lirs_connect {c |}
{space 2}Vendor has prior connection with state IRS  {c |}{col 47}{res}{space 2} .0244313{col 59}{space 2} .0250376{col 70}{space 1}    0.98{col 79}{space 3}0.329{col 87}{space 4}-.0247086{col 100}{space 3} .0735712
{txt}{space 45} {c |}
{space 31}friends_market {c |}
{space 12}Vendor has friends in the market  {c |}{col 47}{res}{space 2} .0118272{col 59}{space 2} .0224463{col 70}{space 1}    0.53{col 79}{space 3}0.598{col 87}{space 4}-.0322268{col 100}{space 3} .0558812
{txt}{space 45} {c |}
{space 41}club {c |}
{space 24}Yes, one association  {c |}{col 47}{res}{space 2} .0644563{col 59}{space 2} .0262276{col 70}{space 1}    2.46{col 79}{space 3}0.014{col 87}{space 4} .0129809{col 100}{space 3} .1159318
{txt}{space 22}Yes, many associations  {c |}{col 47}{res}{space 2} .0514863{col 59}{space 2} .0355872{col 70}{space 1}    1.45{col 79}{space 3}0.148{col 87}{space 4}-.0183586{col 100}{space 3} .1213313
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2} .0618386{col 59}{space 2} .0480928{col 70}{space 1}    1.29{col 79}{space 3}0.199{col 87}{space 4}-.0325503{col 100}{space 3} .1562274
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m2
{txt}
{com}. 
. reg etcc2 i.T_messenger##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club [pw = ipw], robust
{txt}(sum of wgt is 1,179.18367195129)

Linear regression                               Number of obs     = {res}       907
                                                {txt}F(18, 888)        =  {res}     1.98
                                                {txt}Prob > F          = {res}    0.0089
                                                {txt}R-squared         = {res}    0.0385
                                                {txt}Root MSE          =    {res} .33596

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0062265{col 57}{space 2} .0317872{col 68}{space 1}   -0.20{col 77}{space 3}0.845{col 85}{space 4}-.0686133{col 98}{space 3} .0561602
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2} .0576964{col 57}{space 2} .0360108{col 68}{space 1}    1.60{col 77}{space 3}0.109{col 85}{space 4}-.0129797{col 98}{space 3} .1283726
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0864865{col 57}{space 2} .0397735{col 68}{space 1}    2.17{col 77}{space 3}0.030{col 85}{space 4} .0084255{col 98}{space 3} .1645476
{txt}{space 43} {c |}
{space 25}T_messenger#yoruba {c |}
{space 21}Informal Agent#Yoruba  {c |}{col 45}{res}{space 2}-.0065832{col 57}{space 2}  .053913{col 68}{space 1}   -0.12{col 77}{space 3}0.903{col 85}{space 4}-.1123949{col 98}{space 3} .0992285
{txt}{space 24}State Agent#Yoruba  {c |}{col 45}{res}{space 2}-.0661286{col 57}{space 2} .0566451{col 68}{space 1}   -1.17{col 77}{space 3}0.243{col 85}{space 4}-.1773025{col 98}{space 3} .0450454
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0268806{col 57}{space 2} .0413675{col 68}{space 1}    0.65{col 77}{space 3}0.516{col 85}{space 4}-.0543088{col 98}{space 3}   .10807
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0400968{col 57}{space 2}  .043546{col 68}{space 1}   -0.92{col 77}{space 3}0.357{col 85}{space 4}-.1255619{col 98}{space 3} .0453683
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0698592{col 57}{space 2} .0388337{col 68}{space 1}   -1.80{col 77}{space 3}0.072{col 85}{space 4}-.1460756{col 98}{space 3} .0063573
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0190324{col 57}{space 2} .0299537{col 68}{space 1}    0.64{col 77}{space 3}0.525{col 85}{space 4}-.0397558{col 98}{space 3} .0778206
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0558968{col 57}{space 2} .0336809{col 68}{space 1}    1.66{col 77}{space 3}0.097{col 85}{space 4}-.0102067{col 98}{space 3} .1220004
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0199872{col 57}{space 2} .0304981{col 68}{space 1}    0.66{col 77}{space 3}0.512{col 85}{space 4}-.0398695{col 98}{space 3} .0798438
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0011278{col 57}{space 2} .0352056{col 68}{space 1}    0.03{col 77}{space 3}0.974{col 85}{space 4}-.0679682{col 98}{space 3} .0702237
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0127498{col 57}{space 2} .0267761{col 68}{space 1}    0.48{col 77}{space 3}0.634{col 85}{space 4} -.039802{col 98}{space 3} .0653016
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0046135{col 57}{space 2} .0378929{col 68}{space 1}   -0.12{col 77}{space 3}0.903{col 85}{space 4}-.0789835{col 98}{space 3} .0697565
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0189979{col 57}{space 2} .0248213{col 68}{space 1}    0.77{col 77}{space 3}0.444{col 85}{space 4}-.0297173{col 98}{space 3} .0677132
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0130693{col 57}{space 2} .0227067{col 68}{space 1}    0.58{col 77}{space 3}0.565{col 85}{space 4}-.0314958{col 98}{space 3} .0576343
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0616594{col 57}{space 2}   .02641{col 68}{space 1}    2.33{col 77}{space 3}0.020{col 85}{space 4} .0098261{col 98}{space 3} .1134927
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0467861{col 57}{space 2}  .035911{col 68}{space 1}    1.30{col 77}{space 3}0.193{col 85}{space 4}-.0236943{col 98}{space 3} .1172665
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0465949{col 57}{space 2} .0464501{col 68}{space 1}    1.00{col 77}{space 3}0.316{col 85}{space 4}-.0445699{col 98}{space 3} .1377596
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m3
{txt}
{com}. 
. reg etcc2 i.T_message##i.yoruba i.market_size i.rent_dummy i.trust i.lirs_connect i.friends_market i.club [pw = ipw], robust
{txt}(sum of wgt is 1,179.18367195129)

Linear regression                               Number of obs     = {res}       907
                                                {txt}F(18, 888)        =  {res}     1.98
                                                {txt}Prob > F          = {res}    0.0086
                                                {txt}R-squared         = {res}    0.0409
                                                {txt}Root MSE          =    {res} .33554

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2}  .006773{col 57}{space 2} .0329389{col 68}{space 1}    0.21{col 77}{space 3}0.837{col 85}{space 4}-.0578742{col 98}{space 3} .0714201
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2} .0443532{col 57}{space 2} .0353134{col 68}{space 1}    1.26{col 77}{space 3}0.209{col 85}{space 4}-.0249543{col 98}{space 3} .1136606
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0871907{col 57}{space 2} .0397857{col 68}{space 1}    2.19{col 77}{space 3}0.029{col 85}{space 4} .0091057{col 98}{space 3} .1652757
{txt}{space 43} {c |}
{space 27}T_message#yoruba {c |}
{space 24}Enforcement#Yoruba  {c |}{col 45}{res}{space 2} .0230883{col 57}{space 2} .0566169{col 68}{space 1}    0.41{col 77}{space 3}0.684{col 85}{space 4}-.0880304{col 98}{space 3} .1342069
{txt}{space 23}Public Goods#Yoruba  {c |}{col 45}{res}{space 2}-.0930073{col 57}{space 2} .0545159{col 68}{space 1}   -1.71{col 77}{space 3}0.088{col 85}{space 4}-.2000024{col 98}{space 3} .0139878
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0240871{col 57}{space 2} .0411581{col 68}{space 1}    0.59{col 77}{space 3}0.559{col 85}{space 4}-.0566914{col 98}{space 3} .1048656
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0402405{col 57}{space 2} .0433042{col 68}{space 1}   -0.93{col 77}{space 3}0.353{col 85}{space 4} -.125231{col 98}{space 3} .0447499
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}  -.06965{col 57}{space 2} .0386274{col 68}{space 1}   -1.80{col 77}{space 3}0.072{col 85}{space 4}-.1454617{col 98}{space 3} .0061617
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0276719{col 57}{space 2} .0305394{col 68}{space 1}    0.91{col 77}{space 3}0.365{col 85}{space 4}-.0322658{col 98}{space 3} .0876096
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}  .059858{col 57}{space 2} .0338043{col 68}{space 1}    1.77{col 77}{space 3}0.077{col 85}{space 4}-.0064878{col 98}{space 3} .1262037
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}  .027625{col 57}{space 2} .0308832{col 68}{space 1}    0.89{col 77}{space 3}0.371{col 85}{space 4}-.0329876{col 98}{space 3} .0882376
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0037203{col 57}{space 2} .0351638{col 68}{space 1}    0.11{col 77}{space 3}0.916{col 85}{space 4}-.0652937{col 98}{space 3} .0727342
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0121694{col 57}{space 2} .0268315{col 68}{space 1}    0.45{col 77}{space 3}0.650{col 85}{space 4}-.0404911{col 98}{space 3} .0648299
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0019306{col 57}{space 2} .0381713{col 68}{space 1}   -0.05{col 77}{space 3}0.960{col 85}{space 4}-.0768471{col 98}{space 3} .0729859
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0194974{col 57}{space 2} .0247753{col 68}{space 1}    0.79{col 77}{space 3}0.432{col 85}{space 4}-.0291275{col 98}{space 3} .0681224
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0138021{col 57}{space 2} .0226835{col 68}{space 1}    0.61{col 77}{space 3}0.543{col 85}{space 4}-.0307175{col 98}{space 3} .0583217
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0644209{col 57}{space 2} .0263719{col 68}{space 1}    2.44{col 77}{space 3}0.015{col 85}{space 4} .0126624{col 98}{space 3} .1161794
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0483328{col 57}{space 2} .0356841{col 68}{space 1}    1.35{col 77}{space 3}0.176{col 85}{space 4}-.0217022{col 98}{space 3} .1183678
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2}  .040167{col 57}{space 2} .0463088{col 68}{space 1}    0.87{col 77}{space 3}0.386{col 85}{space 4}-.0507204{col 98}{space 3} .1310544
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m4
{txt}
{com}. 
. reg etcc2 T_messenger##c.mpaquality $controls [pw = ipw], cluster(mname_b)
{txt}(sum of wgt is 1,179.18367195129)

Linear regression                               Number of obs     = {res}       907
                                                {txt}F(19, 150)        =  {res}     2.16
                                                {txt}Prob > F          = {res}    0.0055
                                                {txt}R-squared         = {res}    0.0390
                                                {txt}Root MSE          =    {res} .33606

{txt}{ralign 109:(Std. err. adjusted for {res:151} clusters in {res:mname_b})}
{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0793977{col 57}{space 2} .0627775{col 68}{space 1}   -1.26{col 77}{space 3}0.208{col 85}{space 4}-.2034402{col 98}{space 3} .0446448
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}  .048978{col 57}{space 2} .0639158{col 68}{space 1}    0.77{col 77}{space 3}0.445{col 85}{space 4}-.0773135{col 98}{space 3} .1752695
{txt}{space 43} {c |}
{space 33}mpaquality {c |}{col 45}{res}{space 2}-.0520563{col 57}{space 2} .1008762{col 68}{space 1}   -0.52{col 77}{space 3}0.607{col 85}{space 4}-.2513781{col 98}{space 3} .1472655
{txt}{space 43} {c |}
{space 19}T_messenger#c.mpaquality {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2} .1484998{col 57}{space 2} .1365365{col 68}{space 1}    1.09{col 77}{space 3}0.279{col 85}{space 4}-.1212834{col 98}{space 3} .4182829
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.0491314{col 57}{space 2} .1261746{col 68}{space 1}   -0.39{col 77}{space 3}0.698{col 85}{space 4}-.2984406{col 98}{space 3} .2001777
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0262578{col 57}{space 2} .0435082{col 68}{space 1}    0.60{col 77}{space 3}0.547{col 85}{space 4}-.0597104{col 98}{space 3}  .112226
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0426956{col 57}{space 2} .0466975{col 68}{space 1}   -0.91{col 77}{space 3}0.362{col 85}{space 4}-.1349655{col 98}{space 3} .0495743
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0695131{col 57}{space 2} .0420757{col 68}{space 1}   -1.65{col 77}{space 3}0.101{col 85}{space 4}-.1526506{col 98}{space 3} .0136244
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0170949{col 57}{space 2} .0286397{col 68}{space 1}    0.60{col 77}{space 3}0.551{col 85}{space 4}-.0394943{col 98}{space 3} .0736842
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0549181{col 57}{space 2} .0371191{col 68}{space 1}    1.48{col 77}{space 3}0.141{col 85}{space 4}-.0184258{col 98}{space 3} .1282619
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0203582{col 57}{space 2} .0315395{col 68}{space 1}    0.65{col 77}{space 3}0.520{col 85}{space 4} -.041961{col 98}{space 3} .0826773
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0630466{col 57}{space 2}  .022766{col 68}{space 1}    2.77{col 77}{space 3}0.006{col 85}{space 4} .0180631{col 98}{space 3} .1080302
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0042829{col 57}{space 2} .0375185{col 68}{space 1}    0.11{col 77}{space 3}0.909{col 85}{space 4}-.0698502{col 98}{space 3} .0784159
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0125741{col 57}{space 2}  .024661{col 68}{space 1}    0.51{col 77}{space 3}0.611{col 85}{space 4}-.0361536{col 98}{space 3} .0613018
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0081743{col 57}{space 2} .0407398{col 68}{space 1}   -0.20{col 77}{space 3}0.841{col 85}{space 4}-.0886723{col 98}{space 3} .0723238
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0181219{col 57}{space 2} .0241806{col 68}{space 1}    0.75{col 77}{space 3}0.455{col 85}{space 4}-.0296567{col 98}{space 3} .0659005
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0154242{col 57}{space 2} .0223946{col 68}{space 1}    0.69{col 77}{space 3}0.492{col 85}{space 4}-.0288254{col 98}{space 3} .0596739
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0666018{col 57}{space 2} .0312942{col 68}{space 1}    2.13{col 77}{space 3}0.035{col 85}{space 4} .0047675{col 98}{space 3} .1284362
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0447435{col 57}{space 2} .0380692{col 68}{space 1}    1.18{col 77}{space 3}0.242{col 85}{space 4}-.0304777{col 98}{space 3} .1199647
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0821371{col 57}{space 2}  .059498{col 68}{space 1}    1.38{col 77}{space 3}0.169{col 85}{space 4}-.0354252{col 98}{space 3} .1996995
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store m5
{txt}
{com}. 
. esttab m1 m2 m3 m4 m5 /// 
>         using "diffeffects_ipw_new.tex", star(+ 0.1 * 0.05 ** 0.01 *** 0.001) se b(3) se(3) r2(2) label booktabs  replace ///
>         stats(N, labels("Observations") f(0))  ///
>         title("Differential Effects of Tax Appeals on e-TCC Registration, with Inverse Probability Weights for Attrition \label{c -(}tab:diffeffectsipw{c )-}")  ///
>         varlabels (_cons Constant) ///
>         drop(*.market_size *.rent_dummy *.trust *.lirs_connect *.friends_market *.club ) ///
>         nonotes  nobaselevels  nogaps mtitles("\shortstack{c -(}Relative Trust\\in Messenger{c )-}" "\shortstack{c -(}Message Credibility\\through Service Access{c )-}" "Ethnicity" "Ethnicity" "\shortstack{c -(}Message Credibility\\through MPA Quality{c )-}") ///
>         addnote("OLS model with robust standard errors, blocking variables included. $^+ p<0.10$, $^{c -(}*{c )-} p<0.05$, $^{c -(}**{c )-} p<0.01$, $^{c -(}***{c )-} p<0.001$") ///
>         sub("\begin{c -(}tabular{c )-}" "\begin{c -(}adjustbox{c )-}{c -(}width=0.8\textwidth, totalheight=0.5\textheight{c )-} \begin{c -(}tabular{c )-}" "\end{c -(}tabular{c )-}" "\end{c -(}tabular{c )-} \end{c -(}adjustbox{c )-}")     
{res}{txt}{p 0 4 2}
(file {bf}
diffeffects_ipw_new.tex{rm}
not found)
{p_end}
(output written to {browse  `"diffeffects_ipw_new.tex"'})

{com}.         
. // Table 10
. 
. gen treatcontrol=0 if T_message==0
{txt}(1,074 missing values generated)

{com}. replace treatcontrol=1 if T_message==1 | T_message==2
{txt}(855 real changes made)

{com}. 
. label var treatcontrol "Any Tax Appeal"
{txt}
{com}. 
. reg etcc2 i.treatcontrol $controls, robust

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(15, 975)        =  {res}     2.13
                                                {txt}Prob > F          = {res}    0.0072
                                                {txt}R-squared         = {res}    0.0329
                                                {txt}Root MSE          =    {res} .33361

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 29}1.treatcontrol {c |}{col 45}{res}{space 2} .0141368{col 57}{space 2} .0227462{col 68}{space 1}    0.62{col 77}{space 3}0.534{col 85}{space 4}-.0305004{col 98}{space 3} .0587741
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0221943{col 57}{space 2} .0388991{col 68}{space 1}    0.57{col 77}{space 3}0.568{col 85}{space 4}-.0541414{col 98}{space 3}   .09853
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0481536{col 57}{space 2} .0405338{col 68}{space 1}   -1.19{col 77}{space 3}0.235{col 85}{space 4}-.1276972{col 98}{space 3}   .03139
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0695938{col 57}{space 2} .0366185{col 68}{space 1}   -1.90{col 77}{space 3}0.058{col 85}{space 4}-.1414538{col 98}{space 3} .0022663
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0147451{col 57}{space 2} .0281724{col 68}{space 1}    0.52{col 77}{space 3}0.601{col 85}{space 4}-.0405405{col 98}{space 3} .0700307
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0538372{col 57}{space 2}   .03176{col 68}{space 1}    1.70{col 77}{space 3}0.090{col 85}{space 4}-.0084886{col 98}{space 3}  .116163
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0281227{col 57}{space 2} .0295288{col 68}{space 1}    0.95{col 77}{space 3}0.341{col 85}{space 4}-.0298247{col 98}{space 3} .0860701
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0672097{col 57}{space 2} .0219453{col 68}{space 1}    3.06{col 77}{space 3}0.002{col 85}{space 4} .0241442{col 98}{space 3} .1102751
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0016049{col 57}{space 2} .0347981{col 68}{space 1}    0.05{col 77}{space 3}0.963{col 85}{space 4}-.0666829{col 98}{space 3} .0698927
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2}  .009209{col 57}{space 2} .0261026{col 68}{space 1}    0.35{col 77}{space 3}0.724{col 85}{space 4}-.0420146{col 98}{space 3} .0604327
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0089772{col 57}{space 2} .0307187{col 68}{space 1}   -0.29{col 77}{space 3}0.770{col 85}{space 4}-.0692595{col 98}{space 3} .0513052
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0257122{col 57}{space 2} .0242242{col 68}{space 1}    1.06{col 77}{space 3}0.289{col 85}{space 4}-.0218254{col 98}{space 3} .0732498
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0169522{col 57}{space 2} .0214058{col 68}{space 1}    0.79{col 77}{space 3}0.429{col 85}{space 4}-.0250545{col 98}{space 3} .0589588
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0420183{col 57}{space 2} .0242995{col 68}{space 1}    1.73{col 77}{space 3}0.084{col 85}{space 4}-.0056671{col 98}{space 3} .0897037
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0375752{col 57}{space 2}  .034509{col 68}{space 1}    1.09{col 77}{space 3}0.276{col 85}{space 4}-.0301452{col 98}{space 3} .1052956
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2}  .056709{col 57}{space 2} .0440245{col 68}{space 1}    1.29{col 77}{space 3}0.198{col 85}{space 4}-.0296847{col 98}{space 3} .1431027
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store h2a
{txt}
{com}. 
. reg tax_morale2_e i.treatcontrol $controls, robust 

{txt}Linear regression                               Number of obs     = {res}       925
                                                {txt}F(15, 909)        =  {res}     1.30
                                                {txt}Prob > F          = {res}    0.1970
                                                {txt}R-squared         = {res}    0.0211
                                                {txt}Root MSE          =    {res} 1.1071

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                              tax_morale2_e{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 29}1.treatcontrol {c |}{col 45}{res}{space 2}-.0492677{col 57}{space 2} .0780716{col 68}{space 1}   -0.63{col 77}{space 3}0.528{col 85}{space 4}-.2024893{col 98}{space 3} .1039539
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0064472{col 57}{space 2} .1191291{col 68}{space 1}   -0.05{col 77}{space 3}0.957{col 85}{space 4}-.2402474{col 98}{space 3} .2273529
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2} .0914392{col 57}{space 2} .1346084{col 68}{space 1}    0.68{col 77}{space 3}0.497{col 85}{space 4}-.1727402{col 98}{space 3} .3556185
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0471291{col 57}{space 2} .1175264{col 68}{space 1}   -0.40{col 77}{space 3}0.689{col 85}{space 4}-.2777836{col 98}{space 3} .1835255
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0133308{col 57}{space 2} .0985658{col 68}{space 1}   -0.14{col 77}{space 3}0.892{col 85}{space 4}-.2067737{col 98}{space 3} .1801121
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}-.0443702{col 57}{space 2} .1072758{col 68}{space 1}   -0.41{col 77}{space 3}0.679{col 85}{space 4}-.2549072{col 98}{space 3} .1661668
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}-.0567971{col 57}{space 2} .1080975{col 68}{space 1}   -0.53{col 77}{space 3}0.599{col 85}{space 4}-.2689467{col 98}{space 3} .1553526
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .2637396{col 57}{space 2} .0754527{col 68}{space 1}    3.50{col 77}{space 3}0.000{col 85}{space 4} .1156578{col 98}{space 3} .4118213
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0459434{col 57}{space 2} .1146134{col 68}{space 1}    0.40{col 77}{space 3}0.689{col 85}{space 4}-.1789942{col 98}{space 3}  .270881
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0134911{col 57}{space 2}  .089779{col 68}{space 1}    0.15{col 77}{space 3}0.881{col 85}{space 4} -.162707{col 98}{space 3} .1896893
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}  .078291{col 57}{space 2} .1098558{col 68}{space 1}    0.71{col 77}{space 3}0.476{col 85}{space 4}-.1373096{col 98}{space 3} .2938915
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0721153{col 57}{space 2} .0805634{col 68}{space 1}    0.90{col 77}{space 3}0.371{col 85}{space 4}-.0859965{col 98}{space 3} .2302271
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2}  .092229{col 57}{space 2} .0748224{col 68}{space 1}    1.23{col 77}{space 3}0.218{col 85}{space 4}-.0546156{col 98}{space 3} .2390737
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2}-.0465658{col 57}{space 2} .0827546{col 68}{space 1}   -0.56{col 77}{space 3}0.574{col 85}{space 4}-.2089781{col 98}{space 3} .1158466
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2}-.0302185{col 57}{space 2} .1182854{col 68}{space 1}   -0.26{col 77}{space 3}0.798{col 85}{space 4}-.2623626{col 98}{space 3} .2019256
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} 2.477089{col 57}{space 2}  .150018{col 68}{space 1}   16.51{col 77}{space 3}0.000{col 85}{space 4} 2.182667{col 98}{space 3}  2.77151
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store h2b
{txt}
{com}. 
. reg punish_new i.T_message $controls , robust 

{txt}Linear regression                               Number of obs     = {res}       846
                                                {txt}F(16, 829)        =  {res}     1.44
                                                {txt}Prob > F          = {res}    0.1176
                                                {txt}R-squared         = {res}    0.0267
                                                {txt}Root MSE          =    {res} .82011

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                 punish_new{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2} .0537047{col 57}{space 2}  .070745{col 68}{space 1}    0.76{col 77}{space 3}0.448{col 85}{space 4}-.0851558{col 98}{space 3} .1925651
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2} .0667123{col 57}{space 2} .0688764{col 68}{space 1}    0.97{col 77}{space 3}0.333{col 85}{space 4}-.0684803{col 98}{space 3} .2019049
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0755573{col 57}{space 2} .0930654{col 68}{space 1}    0.81{col 77}{space 3}0.417{col 85}{space 4}-.1071142{col 98}{space 3} .2582288
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.1047788{col 57}{space 2} .1020423{col 68}{space 1}   -1.03{col 77}{space 3}0.305{col 85}{space 4}-.3050705{col 98}{space 3} .0955128
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}  .060399{col 57}{space 2} .0933145{col 68}{space 1}    0.65{col 77}{space 3}0.518{col 85}{space 4}-.1227614{col 98}{space 3} .2435594
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0902497{col 57}{space 2}  .076339{col 68}{space 1}    1.18{col 77}{space 3}0.237{col 85}{space 4}-.0595908{col 98}{space 3} .2400903
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}-.0440092{col 57}{space 2} .0843373{col 68}{space 1}   -0.52{col 77}{space 3}0.602{col 85}{space 4}-.2095489{col 98}{space 3} .1215304
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}-.0273207{col 57}{space 2} .0846773{col 68}{space 1}   -0.32{col 77}{space 3}0.747{col 85}{space 4}-.1935277{col 98}{space 3} .1388864
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} -.001553{col 57}{space 2} .0592663{col 68}{space 1}   -0.03{col 77}{space 3}0.979{col 85}{space 4}-.1178825{col 98}{space 3} .1147766
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0732678{col 57}{space 2} .0886889{col 68}{space 1}    0.83{col 77}{space 3}0.409{col 85}{space 4}-.1008133{col 98}{space 3} .2473489
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2}-.1227168{col 57}{space 2} .0706125{col 68}{space 1}   -1.74{col 77}{space 3}0.083{col 85}{space 4}-.2613171{col 98}{space 3} .0158834
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .0122164{col 57}{space 2} .0880596{col 68}{space 1}    0.14{col 77}{space 3}0.890{col 85}{space 4}-.1606296{col 98}{space 3} .1850625
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2}-.0764085{col 57}{space 2} .0602528{col 68}{space 1}   -1.27{col 77}{space 3}0.205{col 85}{space 4}-.1946746{col 98}{space 3} .0418576
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .1216565{col 57}{space 2} .0575257{col 68}{space 1}    2.11{col 77}{space 3}0.035{col 85}{space 4} .0087434{col 98}{space 3} .2345697
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2}-.0396006{col 57}{space 2} .0640455{col 68}{space 1}   -0.62{col 77}{space 3}0.537{col 85}{space 4}-.1653111{col 98}{space 3} .0861099
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0900082{col 57}{space 2} .0896844{col 68}{space 1}    1.00{col 77}{space 3}0.316{col 85}{space 4} -.086027{col 98}{space 3} .2660435
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2}-.0795349{col 57}{space 2} .1147138{col 68}{space 1}   -0.69{col 77}{space 3}0.488{col 85}{space 4}-.3046987{col 98}{space 3} .1456288
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store h2c
{txt}
{com}. 
. reg benefit_new i.T_message $controls , robust 

{txt}Linear regression                               Number of obs     = {res}       933
                                                {txt}F(16, 916)        =  {res}     1.35
                                                {txt}Prob > F          = {res}    0.1622
                                                {txt}R-squared         = {res}    0.0214
                                                {txt}Root MSE          =    {res} .68639

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                benefit_new{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2} .0637058{col 57}{space 2} .0565293{col 68}{space 1}    1.13{col 77}{space 3}0.260{col 85}{space 4}-.0472362{col 98}{space 3} .1746478
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2} .0901239{col 57}{space 2} .0541607{col 68}{space 1}    1.66{col 77}{space 3}0.096{col 85}{space 4}-.0161696{col 98}{space 3} .1964174
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0620356{col 57}{space 2} .0792824{col 68}{space 1}   -0.78{col 77}{space 3}0.434{col 85}{space 4}-.2176318{col 98}{space 3} .0935606
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.1702367{col 57}{space 2} .0870499{col 68}{space 1}   -1.96{col 77}{space 3}0.051{col 85}{space 4}-.3410771{col 98}{space 3} .0006036
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0495067{col 57}{space 2} .0785074{col 68}{space 1}   -0.63{col 77}{space 3}0.528{col 85}{space 4}-.2035819{col 98}{space 3} .1045685
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2} .0402576{col 57}{space 2} .0613393{col 68}{space 1}    0.66{col 77}{space 3}0.512{col 85}{space 4}-.0801242{col 98}{space 3} .1606395
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}-.0149168{col 57}{space 2} .0682801{col 68}{space 1}   -0.22{col 77}{space 3}0.827{col 85}{space 4}-.1489204{col 98}{space 3} .1190869
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} -.061855{col 57}{space 2} .0668224{col 68}{space 1}   -0.93{col 77}{space 3}0.355{col 85}{space 4}-.1929977{col 98}{space 3} .0692877
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0287665{col 57}{space 2} .0467363{col 68}{space 1}    0.62{col 77}{space 3}0.538{col 85}{space 4}-.0629562{col 98}{space 3} .1204892
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0010155{col 57}{space 2} .0699488{col 68}{space 1}    0.01{col 77}{space 3}0.988{col 85}{space 4} -.136263{col 98}{space 3}  .138294
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2}-.1171843{col 57}{space 2} .0556299{col 68}{space 1}   -2.11{col 77}{space 3}0.035{col 85}{space 4}-.2263612{col 98}{space 3}-.0080073
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2}-.0420836{col 57}{space 2} .0697334{col 68}{space 1}   -0.60{col 77}{space 3}0.546{col 85}{space 4}-.1789393{col 98}{space 3} .0947721
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2}-.0401812{col 57}{space 2} .0473195{col 68}{space 1}   -0.85{col 77}{space 3}0.396{col 85}{space 4}-.1330483{col 98}{space 3}  .052686
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0928707{col 57}{space 2} .0453345{col 68}{space 1}    2.05{col 77}{space 3}0.041{col 85}{space 4} .0038991{col 98}{space 3} .1818423
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0075684{col 57}{space 2} .0510079{col 68}{space 1}    0.15{col 77}{space 3}0.882{col 85}{space 4}-.0925376{col 98}{space 3} .1076743
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0568192{col 57}{space 2} .0699789{col 68}{space 1}    0.81{col 77}{space 3}0.417{col 85}{space 4}-.0805183{col 98}{space 3} .1941567
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0064219{col 57}{space 2} .0992604{col 68}{space 1}    0.06{col 77}{space 3}0.948{col 85}{space 4}-.1883823{col 98}{space 3} .2012262
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store h2d
{txt}
{com}. 
. reg etcc2 i.T_messenger##i.trust2 $controls , robust 
{txt}{p 0 6 2}note: {bf:2.trust} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}       842
                                                {txt}F(17, 824)        =  {res}     2.23
                                                {txt}Prob > F          = {res}    0.0029
                                                {txt}R-squared         = {res}    0.0513
                                                {txt}Root MSE          =    {res} .33562

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 32}T_messenger {c |}
{space 28}Informal Agent  {c |}{col 45}{res}{space 2}-.0456038{col 57}{space 2} .0544757{col 68}{space 1}   -0.84{col 77}{space 3}0.403{col 85}{space 4}-.1525313{col 98}{space 3} .0613237
{txt}{space 31}State Agent  {c |}{col 45}{res}{space 2}-.1060524{col 57}{space 2} .0507062{col 68}{space 1}   -2.09{col 77}{space 3}0.037{col 85}{space 4} -.205581{col 98}{space 3}-.0065238
{txt}{space 43} {c |}
{space 37}trust2 {c |}
{space 20}Trust LIRS weakly more  {c |}{col 45}{res}{space 2}-.0995603{col 57}{space 2} .0477616{col 68}{space 1}   -2.08{col 77}{space 3}0.037{col 85}{space 4}-.1933091{col 98}{space 3}-.0058116
{txt}{space 43} {c |}
{space 25}T_messenger#trust2 {c |}
{space 5}Informal Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .0644029{col 57}{space 2} .0632183{col 68}{space 1}    1.02{col 77}{space 3}0.309{col 85}{space 4}-.0596849{col 98}{space 3} .1884908
{txt}{space 8}State Agent#Trust LIRS weakly more  {c |}{col 45}{res}{space 2} .1998095{col 57}{space 2} .0620037{col 68}{space 1}    3.22{col 77}{space 3}0.001{col 85}{space 4} .0781056{col 98}{space 3} .3215133
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2} .0398576{col 57}{space 2} .0419584{col 68}{space 1}    0.95{col 77}{space 3}0.342{col 85}{space 4}-.0425004{col 98}{space 3} .1222156
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0263622{col 57}{space 2} .0441414{col 68}{space 1}   -0.60{col 77}{space 3}0.551{col 85}{space 4}-.1130051{col 98}{space 3} .0602807
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0756188{col 57}{space 2} .0390075{col 68}{space 1}   -1.94{col 77}{space 3}0.053{col 85}{space 4}-.1521846{col 98}{space 3} .0009471
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0071998{col 57}{space 2} .0308331{col 68}{space 1}   -0.23{col 77}{space 3}0.815{col 85}{space 4}-.0677205{col 98}{space 3} .0533209
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2}  .039175{col 57}{space 2}  .033943{col 68}{space 1}    1.15{col 77}{space 3}0.249{col 85}{space 4}-.0274499{col 98}{space 3} .1057999
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2}  .019387{col 57}{space 2} .0336278{col 68}{space 1}    0.58{col 77}{space 3}0.564{col 85}{space 4}-.0466193{col 98}{space 3} .0853933
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0586953{col 57}{space 2} .0236881{col 68}{space 1}    2.48{col 77}{space 3}0.013{col 85}{space 4} .0121991{col 98}{space 3} .1051915
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0008396{col 57}{space 2} .0347814{col 68}{space 1}    0.02{col 77}{space 3}0.981{col 85}{space 4} -.067431{col 98}{space 3} .0691102
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2}        0{col 57}{txt}  (omitted)
{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0307291{col 57}{space 2} .0255407{col 68}{space 1}    1.20{col 77}{space 3}0.229{col 85}{space 4}-.0194034{col 98}{space 3} .0808615
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2} .0204659{col 57}{space 2} .0237069{col 68}{space 1}    0.86{col 77}{space 3}0.388{col 85}{space 4}-.0260672{col 98}{space 3} .0669989
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0453904{col 57}{space 2} .0268848{col 68}{space 1}    1.69{col 77}{space 3}0.092{col 85}{space 4}-.0073803{col 98}{space 3} .0981611
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0079351{col 57}{space 2} .0354517{col 68}{space 1}    0.22{col 77}{space 3}0.823{col 85}{space 4}-.0616513{col 98}{space 3} .0775214
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .1353674{col 57}{space 2}  .059357{col 68}{space 1}    2.28{col 77}{space 3}0.023{col 85}{space 4} .0188587{col 98}{space 3} .2518761
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store h2e
{txt}
{com}. 
. reg etcc2 i.T_message##i.service_access_d_b $controls , r

{txt}Linear regression                               Number of obs     = {res}       991
                                                {txt}F(19, 971)        =  {res}     2.02
                                                {txt}Prob > F          = {res}    0.0061
                                                {txt}R-squared         = {res}    0.0418
                                                {txt}Root MSE          =    {res} .33275

{txt}{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                        etcc2{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}T_message {c |}
{space 33}Enforcement  {c |}{col 47}{res}{space 2}-.0279582{col 59}{space 2} .0317624{col 70}{space 1}   -0.88{col 79}{space 3}0.379{col 87}{space 4} -.090289{col 100}{space 3} .0343726
{txt}{space 32}Public Goods  {c |}{col 47}{res}{space 2}-.0016921{col 59}{space 2} .0332364{col 70}{space 1}   -0.05{col 79}{space 3}0.959{col 87}{space 4}-.0669155{col 100}{space 3} .0635312
{txt}{space 45} {c |}
{space 27}service_access_d_b {c |}
{space 13}Above-median access to services  {c |}{col 47}{res}{space 2}-.0449541{col 59}{space 2} .0375338{col 70}{space 1}   -1.20{col 79}{space 3}0.231{col 87}{space 4}-.1186109{col 100}{space 3} .0287027
{txt}{space 45} {c |}
{space 17}T_message#service_access_d_b {c |}
{space 1}Enforcement#Above-median access to services  {c |}{col 47}{res}{space 2}  .148659{col 59}{space 2} .0574805{col 70}{space 1}    2.59{col 79}{space 3}0.010{col 87}{space 4} .0358588{col 100}{space 3} .2614592
{txt}Public Goods#Above-median access to services  {c |}{col 47}{res}{space 2} .0209649{col 59}{space 2} .0536188{col 70}{space 1}    0.39{col 79}{space 3}0.696{col 87}{space 4}-.0842571{col 100}{space 3} .1261869
{txt}{space 45} {c |}
{space 34}market_size {c |}
{space 26}6 to 34 interviews  {c |}{col 47}{res}{space 2} .0225458{col 59}{space 2} .0391962{col 70}{space 1}    0.58{col 79}{space 3}0.565{col 87}{space 4}-.0543733{col 100}{space 3} .0994649
{txt}{space 25}35 to 79 interviews  {c |}{col 47}{res}{space 2}-.0440638{col 59}{space 2} .0409583{col 70}{space 1}   -1.08{col 79}{space 3}0.282{col 87}{space 4}-.1244408{col 100}{space 3} .0363132
{txt}{space 29}> 79 interviews  {c |}{col 47}{res}{space 2}-.0644971{col 59}{space 2} .0372001{col 70}{space 1}   -1.73{col 79}{space 3}0.083{col 87}{space 4}-.1374989{col 100}{space 3} .0085048
{txt}{space 45} {c |}
{space 35}rent_dummy {c |}
{space 30}N3751 to N7000  {c |}{col 47}{res}{space 2} .0119932{col 59}{space 2} .0281729{col 70}{space 1}    0.43{col 79}{space 3}0.670{col 87}{space 4}-.0432935{col 100}{space 3} .0672799
{txt}{space 29}N7001 to N15000  {c |}{col 47}{res}{space 2} .0502048{col 59}{space 2}  .031637{col 70}{space 1}    1.59{col 79}{space 3}0.113{col 87}{space 4}  -.01188{col 100}{space 3} .1122896
{txt}{space 36}> N15000  {c |}{col 47}{res}{space 2} .0279531{col 59}{space 2} .0300194{col 70}{space 1}    0.93{col 79}{space 3}0.352{col 87}{space 4}-.0309572{col 100}{space 3} .0868634
{txt}{space 45} {c |}
{space 39}yoruba {c |}
{space 38}Yoruba  {c |}{col 47}{res}{space 2} .0716538{col 59}{space 2} .0223276{col 70}{space 1}    3.21{col 79}{space 3}0.001{col 87}{space 4} .0278379{col 100}{space 3} .1154696
{txt}{space 45} {c |}
{space 40}trust {c |}
{space 24}Trust state IRS more  {c |}{col 47}{res}{space 2} .0078833{col 59}{space 2} .0349384{col 70}{space 1}    0.23{col 79}{space 3}0.822{col 87}{space 4}-.0606802{col 100}{space 3} .0764468
{txt}{space 10}Trust marketplace association more  {c |}{col 47}{res}{space 2} .0140997{col 59}{space 2} .0260232{col 70}{space 1}    0.54{col 79}{space 3}0.588{col 87}{space 4}-.0369686{col 100}{space 3} .0651679
{txt}{space 6}No response recorded/Refused to answer  {c |}{col 47}{res}{space 2}-.0071996{col 59}{space 2} .0309403{col 70}{space 1}   -0.23{col 79}{space 3}0.816{col 87}{space 4}-.0679171{col 100}{space 3}  .053518
{txt}{space 45} {c |}
{space 33}lirs_connect {c |}
{space 2}Vendor has prior connection with state IRS  {c |}{col 47}{res}{space 2} .0289255{col 59}{space 2} .0243481{col 70}{space 1}    1.19{col 79}{space 3}0.235{col 87}{space 4}-.0188555{col 100}{space 3} .0767066
{txt}{space 45} {c |}
{space 31}friends_market {c |}
{space 12}Vendor has friends in the market  {c |}{col 47}{res}{space 2}   .01518{col 59}{space 2}  .021272{col 70}{space 1}    0.71{col 79}{space 3}0.476{col 87}{space 4}-.0265645{col 100}{space 3} .0569244
{txt}{space 45} {c |}
{space 41}club {c |}
{space 24}Yes, one association  {c |}{col 47}{res}{space 2} .0435983{col 59}{space 2} .0242781{col 70}{space 1}    1.80{col 79}{space 3}0.073{col 87}{space 4}-.0040453{col 100}{space 3}  .091242
{txt}{space 22}Yes, many associations  {c |}{col 47}{res}{space 2} .0415533{col 59}{space 2} .0342946{col 70}{space 1}    1.21{col 79}{space 3}0.226{col 87}{space 4}-.0257467{col 100}{space 3} .1088534
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2} .0659765{col 59}{space 2} .0459322{col 70}{space 1}    1.44{col 79}{space 3}0.151{col 87}{space 4}-.0241612{col 100}{space 3} .1561142
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store h2f1
{txt}
{com}. 
. reg etcc2 i.T_message##i.lirs_enforce i.market_size i.rent_dummy i.yoruba i.trust i.friends_market i.club if T_messenger!=1, r

{txt}Linear regression                               Number of obs     = {res}       655
                                                {txt}F(18, 636)        =  {res}     1.19
                                                {txt}Prob > F          = {res}    0.2603
                                                {txt}R-squared         = {res}    0.0358
                                                {txt}Root MSE          =    {res} .34307

{txt}{hline 40}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 41}{c |}{col 53}    Robust
{col 1}                                  etcc2{col 41}{c |} Coefficient{col 53}  std. err.{col 65}      t{col 73}   P>|t|{col 81}     [95% con{col 94}f. interval]
{hline 40}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 30}T_message {c |}
{space 27}Enforcement  {c |}{col 41}{res}{space 2} .0248095{col 53}{space 2} .0395406{col 64}{space 1}    0.63{col 73}{space 3}0.531{col 81}{space 4}-.0528364{col 94}{space 3} .1024554
{txt}{space 26}Public Goods  {c |}{col 41}{res}{space 2} .0122407{col 53}{space 2} .0389577{col 64}{space 1}    0.31{col 73}{space 3}0.753{col 81}{space 4}-.0642605{col 94}{space 3} .0887419
{txt}{space 39} {c |}
{space 25}1.lirs_enforce {c |}{col 41}{res}{space 2} .0136213{col 53}{space 2} .0409756{col 64}{space 1}    0.33{col 73}{space 3}0.740{col 81}{space 4}-.0668426{col 94}{space 3} .0940852
{txt}{space 39} {c |}
{space 17}T_message#lirs_enforce {c |}
{space 25}Enforcement#1  {c |}{col 41}{res}{space 2} .0615714{col 53}{space 2}  .075337{col 64}{space 1}    0.82{col 73}{space 3}0.414{col 81}{space 4}-.0863679{col 94}{space 3} .2095107
{txt}{space 24}Public Goods#1  {c |}{col 41}{res}{space 2} .0143214{col 53}{space 2}  .069579{col 64}{space 1}    0.21{col 73}{space 3}0.837{col 81}{space 4} -.122311{col 94}{space 3} .1509538
{txt}{space 39} {c |}
{space 28}market_size {c |}
{space 20}6 to 34 interviews  {c |}{col 41}{res}{space 2} .0315794{col 53}{space 2} .0482202{col 64}{space 1}    0.65{col 73}{space 3}0.513{col 81}{space 4}-.0631106{col 94}{space 3} .1262694
{txt}{space 19}35 to 79 interviews  {c |}{col 41}{res}{space 2}-.0638499{col 53}{space 2} .0493766{col 64}{space 1}   -1.29{col 73}{space 3}0.196{col 81}{space 4}-.1608108{col 94}{space 3} .0331109
{txt}{space 23}> 79 interviews  {c |}{col 41}{res}{space 2}-.0583386{col 53}{space 2} .0456324{col 64}{space 1}   -1.28{col 73}{space 3}0.202{col 81}{space 4} -.147947{col 94}{space 3} .0312698
{txt}{space 39} {c |}
{space 29}rent_dummy {c |}
{space 24}N3751 to N7000  {c |}{col 41}{res}{space 2} .0480848{col 53}{space 2} .0360499{col 64}{space 1}    1.33{col 73}{space 3}0.183{col 81}{space 4}-.0227064{col 94}{space 3}  .118876
{txt}{space 23}N7001 to N15000  {c |}{col 41}{res}{space 2} .0477909{col 53}{space 2} .0392819{col 64}{space 1}    1.22{col 73}{space 3}0.224{col 81}{space 4}-.0293469{col 94}{space 3} .1249287
{txt}{space 30}> N15000  {c |}{col 41}{res}{space 2} .0313747{col 53}{space 2} .0373237{col 64}{space 1}    0.84{col 73}{space 3}0.401{col 81}{space 4}-.0419179{col 94}{space 3} .1046673
{txt}{space 39} {c |}
{space 33}yoruba {c |}
{space 32}Yoruba  {c |}{col 41}{res}{space 2} .0542205{col 53}{space 2} .0281122{col 64}{space 1}    1.93{col 73}{space 3}0.054{col 81}{space 4}-.0009834{col 94}{space 3} .1094244
{txt}{space 39} {c |}
{space 34}trust {c |}
{space 18}Trust state IRS more  {c |}{col 41}{res}{space 2}-.0076704{col 53}{space 2} .0429293{col 64}{space 1}   -0.18{col 73}{space 3}0.858{col 81}{space 4}-.0919706{col 94}{space 3} .0766298
{txt}{space 4}Trust marketplace association more  {c |}{col 41}{res}{space 2} -.003535{col 53}{space 2} .0327374{col 64}{space 1}   -0.11{col 73}{space 3}0.914{col 81}{space 4}-.0678216{col 94}{space 3} .0607515
{txt}No response recorded/Refused to answer  {c |}{col 41}{res}{space 2}-.0054635{col 53}{space 2} .0396269{col 64}{space 1}   -0.14{col 73}{space 3}0.890{col 81}{space 4}-.0832788{col 94}{space 3} .0723517
{txt}{space 39} {c |}
{space 25}friends_market {c |}
{space 6}Vendor has friends in the market  {c |}{col 41}{res}{space 2} .0335834{col 53}{space 2} .0269553{col 64}{space 1}    1.25{col 73}{space 3}0.213{col 81}{space 4}-.0193488{col 94}{space 3} .0865156
{txt}{space 39} {c |}
{space 35}club {c |}
{space 18}Yes, one association  {c |}{col 41}{res}{space 2} .0232689{col 53}{space 2}  .030526{col 64}{space 1}    0.76{col 73}{space 3}0.446{col 81}{space 4}-.0366751{col 94}{space 3} .0832128
{txt}{space 16}Yes, many associations  {c |}{col 41}{res}{space 2}-.0066913{col 53}{space 2} .0405062{col 64}{space 1}   -0.17{col 73}{space 3}0.869{col 81}{space 4}-.0862333{col 94}{space 3} .0728507
{txt}{space 39} {c |}
{space 34}_cons {c |}{col 41}{res}{space 2} .0622274{col 53}{space 2} .0527098{col 64}{space 1}    1.18{col 73}{space 3}0.238{col 81}{space 4}-.0412789{col 94}{space 3} .1657337
{txt}{hline 40}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. est store h2f2a
{txt}
{com}. 
. reg etcc2 i.T_message##i.mpa_enforce $controls if T_messenger!=2, r

{txt}Linear regression                               Number of obs     = {res}       654
                                                {txt}F(19, 634)        =  {res}     1.41
                                                {txt}Prob > F          = {res}    0.1156
                                                {txt}R-squared         = {res}    0.0472
                                                {txt}Root MSE          =    {res} .32131

{txt}{hline 44}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 45}{c |}{col 57}    Robust
{col 1}                                      etcc2{col 45}{c |} Coefficient{col 57}  std. err.{col 69}      t{col 77}   P>|t|{col 85}     [95% con{col 98}f. interval]
{hline 44}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}T_message {c |}
{space 31}Enforcement  {c |}{col 45}{res}{space 2}-.0212512{col 57}{space 2} .0449653{col 68}{space 1}   -0.47{col 77}{space 3}0.637{col 85}{space 4}-.1095501{col 98}{space 3} .0670478
{txt}{space 30}Public Goods  {c |}{col 45}{res}{space 2}-.0587909{col 57}{space 2} .0427731{col 68}{space 1}   -1.37{col 77}{space 3}0.170{col 85}{space 4}-.1427849{col 98}{space 3} .0252031
{txt}{space 43} {c |}
{space 30}1.mpa_enforce {c |}{col 45}{res}{space 2}-.0002807{col 57}{space 2} .0373948{col 68}{space 1}   -0.01{col 77}{space 3}0.994{col 85}{space 4}-.0737134{col 98}{space 3} .0731521
{txt}{space 43} {c |}
{space 22}T_message#mpa_enforce {c |}
{space 29}Enforcement#1  {c |}{col 45}{res}{space 2} .0289732{col 57}{space 2} .0619801{col 68}{space 1}    0.47{col 77}{space 3}0.640{col 85}{space 4} -.092738{col 98}{space 3} .1506844
{txt}{space 28}Public Goods#1  {c |}{col 45}{res}{space 2} .0903688{col 57}{space 2}  .061982{col 68}{space 1}    1.46{col 77}{space 3}0.145{col 85}{space 4}-.0313459{col 98}{space 3} .2120836
{txt}{space 43} {c |}
{space 32}market_size {c |}
{space 24}6 to 34 interviews  {c |}{col 45}{res}{space 2}-.0080405{col 57}{space 2} .0487093{col 68}{space 1}   -0.17{col 77}{space 3}0.869{col 85}{space 4}-.1036916{col 98}{space 3} .0876105
{txt}{space 23}35 to 79 interviews  {c |}{col 45}{res}{space 2}-.0332461{col 57}{space 2} .0531109{col 68}{space 1}   -0.63{col 77}{space 3}0.532{col 85}{space 4}-.1375407{col 98}{space 3} .0710485
{txt}{space 27}> 79 interviews  {c |}{col 45}{res}{space 2}-.0790335{col 57}{space 2} .0466281{col 68}{space 1}   -1.69{col 77}{space 3}0.091{col 85}{space 4}-.1705977{col 98}{space 3} .0125306
{txt}{space 43} {c |}
{space 33}rent_dummy {c |}
{space 28}N3751 to N7000  {c |}{col 45}{res}{space 2}-.0137321{col 57}{space 2} .0335044{col 68}{space 1}   -0.41{col 77}{space 3}0.682{col 85}{space 4}-.0795252{col 98}{space 3} .0520609
{txt}{space 27}N7001 to N15000  {c |}{col 45}{res}{space 2} .0460631{col 57}{space 2} .0383459{col 68}{space 1}    1.20{col 77}{space 3}0.230{col 85}{space 4}-.0292372{col 98}{space 3} .1213635
{txt}{space 34}> N15000  {c |}{col 45}{res}{space 2} .0212648{col 57}{space 2} .0363372{col 68}{space 1}    0.59{col 77}{space 3}0.559{col 85}{space 4}-.0500911{col 98}{space 3} .0926207
{txt}{space 43} {c |}
{space 37}yoruba {c |}
{space 36}Yoruba  {c |}{col 45}{res}{space 2} .0924682{col 57}{space 2} .0259797{col 68}{space 1}    3.56{col 77}{space 3}0.000{col 85}{space 4} .0414516{col 98}{space 3} .1434848
{txt}{space 43} {c |}
{space 38}trust {c |}
{space 22}Trust state IRS more  {c |}{col 45}{res}{space 2} .0043247{col 57}{space 2} .0405237{col 68}{space 1}    0.11{col 77}{space 3}0.915{col 85}{space 4}-.0752522{col 98}{space 3} .0839016
{txt}{space 8}Trust marketplace association more  {c |}{col 45}{res}{space 2} .0641269{col 57}{space 2} .0321862{col 68}{space 1}    1.99{col 77}{space 3}0.047{col 85}{space 4} .0009224{col 98}{space 3} .1273314
{txt}{space 4}No response recorded/Refused to answer  {c |}{col 45}{res}{space 2} .0037508{col 57}{space 2} .0364574{col 68}{space 1}    0.10{col 77}{space 3}0.918{col 85}{space 4} -.067841{col 98}{space 3} .0753425
{txt}{space 43} {c |}
{space 31}lirs_connect {c |}
Vendor has prior connection with state IRS  {c |}{col 45}{res}{space 2} .0141944{col 57}{space 2} .0285027{col 68}{space 1}    0.50{col 77}{space 3}0.619{col 85}{space 4}-.0417766{col 98}{space 3} .0701655
{txt}{space 43} {c |}
{space 29}friends_market {c |}
{space 10}Vendor has friends in the market  {c |}{col 45}{res}{space 2}-.0006647{col 57}{space 2} .0250633{col 68}{space 1}   -0.03{col 77}{space 3}0.979{col 85}{space 4}-.0498819{col 98}{space 3} .0485524
{txt}{space 43} {c |}
{space 39}club {c |}
{space 22}Yes, one association  {c |}{col 45}{res}{space 2} .0150049{col 57}{space 2} .0283314{col 68}{space 1}    0.53{col 77}{space 3}0.597{col 85}{space 4}-.0406298{col 98}{space 3} .0706395
{txt}{space 20}Yes, many associations  {c |}{col 45}{res}{space 2} .0220855{col 57}{space 2} .0392825{col 68}{space 1}    0.56{col 77}{space 3}0.574{col 85}{space 4} -.055054{col 98}{space 3}  .099225
{txt}{space 43} {c |}
{space 38}_cons {c |}{col 45}{res}{space 2} .0724371{col 57}{space 2} .0561892{col 68}{space 1}    1.29{col 77}{space 3}0.198{col 85}{space 4}-.0379024{col 98}{space 3} .1827766
{txt}{hline 44}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store h2f2b
{txt}
{com}. 
. esttab h2e h2d h2c h2f2a h2b h2a h2f2b h2f1 /// 
>         using "theoryfamily2_new.tex", nostar b(3) p(3) r2(2) label booktabs alignment(D{c -(}.{c )-}{c -(}.{c )-}{c -(}-1{c )-}) replace ///
>         stats(N,layout("\multicolumn{c -(}1{c )-}{c -(}c{c )-}{c -(}@{c )-}") labels("Observations") f(0))  ///
>         title("Theory Family 2 Tests \label{c -(}tab:theoryfamily2{c )-}")  ///
>         varlabels (_cons Constant) drop(*market_size *rent_dummy *yoruba *trust *lirs_connect *friends_market *club) ///
>         nonotes  nobaselevels  nogaps nonumbers mtitles(h2e h2fb h2b h2a h2c h2d h2fa h2f1) ///
>         sub("\begin{c -(}table{c )-}[htbp]" "\begin{c -(}table{c )-}[htbp] \setlength{c -(}\tabcolsep{c )-}{c -(}3pt{c )-} " "\bottomrule" "FDR Corrected p Value Threshold & 0.006 & 0.013 & 0.019 & 0.025 & 0.031 & 0.038 & 0.044 & 0.050 \\ \bottomrule") ///
>         addnote("OLS model with robust standard errors. Nominal p values instead of standard errors in parentheses.")
{res}{txt}{p 0 4 2}
(file {bf}
theoryfamily2_new.tex{rm}
not found)
{p_end}
(output written to {browse  `"theoryfamily2_new.tex"'})

{com}. 
.         
. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
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